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Abraham
185
.gitignore
vendored
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185
.gitignore
vendored
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@@ -0,0 +1,185 @@
|
||||
# Created by .ignore support plugin (hsz.mobi)
|
||||
### Python template
|
||||
# Byte-compiled / optimized / DLL files
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
|
||||
# C extensions
|
||||
*.so
|
||||
|
||||
# Distribution / packaging
|
||||
.Python
|
||||
env/
|
||||
build/
|
||||
develop-eggs/
|
||||
dist/
|
||||
downloads/
|
||||
eggs/
|
||||
.eggs/
|
||||
lib/
|
||||
lib64/
|
||||
parts/
|
||||
sdist/
|
||||
var/
|
||||
*.egg-info/
|
||||
.installed.cfg
|
||||
*.egg
|
||||
|
||||
# PyInstaller
|
||||
# Usually these files are written by a python script from a template
|
||||
# before PyInstaller builds the exe, so as to inject date/other infos into it.
|
||||
*.manifest
|
||||
*.spec
|
||||
|
||||
# Installer logs
|
||||
pip-log.txt
|
||||
pip-delete-this-directory.txt
|
||||
|
||||
# Unit test / coverage reports
|
||||
htmlcov/
|
||||
.tox/
|
||||
.coverage
|
||||
.coverage.*
|
||||
.cache
|
||||
nosetests.xml
|
||||
coverage.xml
|
||||
*,cover
|
||||
.hypothesis/
|
||||
|
||||
# Translations
|
||||
*.mo
|
||||
*.pot
|
||||
|
||||
# Django stuff:
|
||||
*.log
|
||||
local_settings.py
|
||||
|
||||
# Flask stuff:
|
||||
instance/
|
||||
.webassets-cache
|
||||
|
||||
# Scrapy stuff:
|
||||
.scrapy
|
||||
|
||||
# Sphinx documentation
|
||||
docs/_build/
|
||||
|
||||
# PyBuilder
|
||||
target/
|
||||
|
||||
# IPython Notebook
|
||||
.ipynb_checkpoints
|
||||
|
||||
# pyenv
|
||||
.python-version
|
||||
|
||||
# celery beat schedule file
|
||||
celerybeat-schedule
|
||||
|
||||
# dotenv
|
||||
.env
|
||||
|
||||
# virtualenv
|
||||
venv/
|
||||
ENV/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
### VirtualEnv template
|
||||
# Virtualenv
|
||||
# http://iamzed.com/2009/05/07/a-primer-on-virtualenv/
|
||||
[Bb]in
|
||||
[Ii]nclude
|
||||
[Ll]ib
|
||||
[Ll]ib64
|
||||
[Ll]ocal
|
||||
[Ss]cripts
|
||||
pyvenv.cfg
|
||||
.venv
|
||||
pip-selfcheck.json
|
||||
|
||||
### JetBrains template
|
||||
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
|
||||
# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
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||||
|
||||
# User-specific stuff
|
||||
.idea/**/workspace.xml
|
||||
.idea/**/tasks.xml
|
||||
.idea/**/usage.statistics.xml
|
||||
.idea/**/dictionaries
|
||||
.idea/**/shelf
|
||||
|
||||
# AWS User-specific
|
||||
.idea/**/aws.xml
|
||||
|
||||
# Generated files
|
||||
.idea/**/contentModel.xml
|
||||
|
||||
# Sensitive or high-churn files
|
||||
.idea/**/dataSources/
|
||||
.idea/**/dataSources.ids
|
||||
.idea/**/dataSources.local.xml
|
||||
.idea/**/sqlDataSources.xml
|
||||
.idea/**/dynamic.xml
|
||||
.idea/**/uiDesigner.xml
|
||||
.idea/**/dbnavigator.xml
|
||||
|
||||
# Gradle
|
||||
.idea/**/gradle.xml
|
||||
.idea/**/libraries
|
||||
|
||||
# Gradle and Maven with auto-import
|
||||
# When using Gradle or Maven with auto-import, you should exclude module files,
|
||||
# since they will be recreated, and may cause churn. Uncomment if using
|
||||
# auto-import.
|
||||
# .idea/artifacts
|
||||
# .idea/compiler.xml
|
||||
# .idea/jarRepositories.xml
|
||||
# .idea/modules.xml
|
||||
# .idea/*.iml
|
||||
# .idea/modules
|
||||
# *.iml
|
||||
# *.ipr
|
||||
|
||||
# CMake
|
||||
cmake-build-*/
|
||||
|
||||
# Mongo Explorer plugin
|
||||
.idea/**/mongoSettings.xml
|
||||
|
||||
# File-based project format
|
||||
*.iws
|
||||
|
||||
# IntelliJ
|
||||
out/
|
||||
|
||||
# mpeltonen/sbt-idea plugin
|
||||
.idea_modules/
|
||||
|
||||
# JIRA plugin
|
||||
atlassian-ide-plugin.xml
|
||||
|
||||
# Cursive Clojure plugin
|
||||
.idea/replstate.xml
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||||
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||||
# SonarLint plugin
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.idea/sonarlint/
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||||
# Crashlytics plugin (for Android Studio and IntelliJ)
|
||||
com_crashlytics_export_strings.xml
|
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crashlytics.properties
|
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crashlytics-build.properties
|
||||
fabric.properties
|
||||
|
||||
# Editor-based Rest Client
|
||||
.idea/httpRequests
|
||||
|
||||
# Android studio 3.1+ serialized cache file
|
||||
.idea/caches/build_file_checksums.ser
|
||||
|
||||
# idea folder, uncomment if you don't need it
|
||||
# .idea
|
||||
59
_stt.py
Normal file
59
_stt.py
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@@ -0,0 +1,59 @@
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||||
import torch
|
||||
import sounddevice as sd
|
||||
import speech_recognition as sr
|
||||
import time
|
||||
import numpy
|
||||
from glob import glob
|
||||
|
||||
device = torch.device('cpu')
|
||||
model, decoder, utils = torch.hub.load(repo_or_dir='snakers4/silero-models',
|
||||
model='silero_stt',
|
||||
language='en', # en, ru
|
||||
device=device)
|
||||
(read_batch, split_into_batches,
|
||||
read_audio, prepare_model_input) = utils
|
||||
|
||||
def callback(_r, audio):
|
||||
try:
|
||||
# CONVERT raw wav data to NumPy array
|
||||
# wav_raw = audio.get_wav_data()
|
||||
# data_s16 = numpy.frombuffer(wav_raw, dtype=numpy.int16, count=len(wav_raw) // 2, offset=0)
|
||||
# np_audio = data_s16 * 0.5 ** 15
|
||||
|
||||
# Play it via sounddevice
|
||||
#sd.play(np_audio, m.SAMPLE_RATE)
|
||||
#time.sleep(len(np_audio) / m.SAMPLE_RATE)
|
||||
#sd.stop()
|
||||
|
||||
print("Распознание ...")
|
||||
|
||||
# TODO: fix crutch, pass audio data directly as a model input of Silero STT
|
||||
with open('speech.wav', 'wb') as f:
|
||||
f.write(audio.get_wav_data())
|
||||
|
||||
test_files = glob('speech.wav')
|
||||
batches = split_into_batches(test_files, batch_size=10)
|
||||
input = prepare_model_input(read_batch(batches[0]),
|
||||
device=device)
|
||||
|
||||
output = model(input)
|
||||
for example in output:
|
||||
print(decoder(example.cpu()))
|
||||
|
||||
# voice = recognizer.recognize_google(audio, language="ru-RU").lower()
|
||||
# print("[log] Распознано: " + voice)
|
||||
|
||||
except sr.UnknownValueError:
|
||||
print("[log] Голос не распознан!")
|
||||
|
||||
|
||||
# запуск
|
||||
r = sr.Recognizer()
|
||||
r.pause_threshold = 0.5
|
||||
m = sr.Microphone(device_index=1)
|
||||
|
||||
with m as source:
|
||||
r.adjust_for_ambient_noise(source)
|
||||
|
||||
stop_listening = r.listen_in_background(m, callback)
|
||||
while True: time.sleep(0.1)
|
||||
14
config.py
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14
config.py
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|
||||
VA_NAME = 'Кеша'
|
||||
|
||||
VA_VER = "2.0"
|
||||
|
||||
VA_ALIAS = ('кеша', 'кеш', 'инокентий', 'иннокентий', 'кишун', 'киш', 'кишаня', 'кешечка', 'кэш', 'кэша')
|
||||
|
||||
VA_TBR = ('скажи', 'покажи', 'ответь', 'произнеси', 'расскажи', 'сколько')
|
||||
|
||||
VA_CMD_LIST = {
|
||||
"help": ('список команд', 'команды', 'что ты умеешь', 'твои навыки', 'навыки'),
|
||||
"ctime": ('время', 'текущее время', 'сейчас времени', 'который час'),
|
||||
"joke": ('расскажи анекдот', 'рассмеши', 'шутка', 'расскажи шутку', 'пошути', 'развесели'),
|
||||
"open_browser": ('открой браузер', 'запусти браузер', 'открой гугл хром', 'гугл хром')
|
||||
}
|
||||
507
latest_silero_models.yml
Normal file
507
latest_silero_models.yml
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|
||||
# pre-trained STT models
|
||||
stt_models:
|
||||
en:
|
||||
latest:
|
||||
meta:
|
||||
name: "en_v6"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/en/en_v6.jit"
|
||||
onnx: "https://models.silero.ai/models/en/en_v5.onnx"
|
||||
jit_q: "https://models.silero.ai/models/en/en_v6_q.jit"
|
||||
jit_xlarge: "https://models.silero.ai/models/en/en_v6_xlarge.jit"
|
||||
onnx_xlarge: "https://models.silero.ai/models/en/en_v6_xlarge.onnx"
|
||||
v6:
|
||||
meta:
|
||||
name: "en_v6"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/en/en_v6.jit"
|
||||
onnx: "https://models.silero.ai/models/en/en_v5.onnx"
|
||||
jit_q: "https://models.silero.ai/models/en/en_v6_q.jit"
|
||||
jit_xlarge: "https://models.silero.ai/models/en/en_v6_xlarge.jit"
|
||||
onnx_xlarge: "https://models.silero.ai/models/en/en_v6_xlarge.onnx"
|
||||
v5:
|
||||
meta:
|
||||
name: "en_v5"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/en/en_v5.jit"
|
||||
onnx: "https://models.silero.ai/models/en/en_v5.onnx"
|
||||
onnx_q: "https://models.silero.ai/models/en/en_v5_q.onnx"
|
||||
jit_q: "https://models.silero.ai/models/en/en_v5_q.jit"
|
||||
jit_xlarge: "https://models.silero.ai/models/en/en_v5_xlarge.jit"
|
||||
onnx_xlarge: "https://models.silero.ai/models/en/en_v5_xlarge.onnx"
|
||||
v4_0:
|
||||
meta:
|
||||
name: "en_v4_0"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit_large: "https://models.silero.ai/models/en/en_v4_0_jit_large.model"
|
||||
onnx_large: "https://models.silero.ai/models/en/en_v4_0_large.onnx"
|
||||
v3:
|
||||
meta:
|
||||
name: "en_v3"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/en/en_v3_jit.model"
|
||||
onnx: "https://models.silero.ai/models/en/en_v3.onnx"
|
||||
jit_q: "https://models.silero.ai/models/en/en_v3_jit_q.model"
|
||||
jit_skip: "https://models.silero.ai/models/en/en_v3_jit_skips.model"
|
||||
jit_large: "https://models.silero.ai/models/en/en_v3_jit_large.model"
|
||||
onnx_large: "https://models.silero.ai/models/en/en_v3_large.onnx"
|
||||
jit_xsmall: "https://models.silero.ai/models/en/en_v3_jit_xsmall.model"
|
||||
jit_q_xsmall: "https://models.silero.ai/models/en/en_v3_jit_q_xsmall.model"
|
||||
onnx_xsmall: "https://models.silero.ai/models/en/en_v3_xsmall.onnx"
|
||||
v2:
|
||||
meta:
|
||||
name: "en_v2"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/en/en_v2_jit.model"
|
||||
onnx: "https://models.silero.ai/models/en/en_v2.onnx"
|
||||
tf: "https://models.silero.ai/models/en/en_v2_tf.tar.gz"
|
||||
v1:
|
||||
meta:
|
||||
name: "en_v1"
|
||||
sample: "https://models.silero.ai/examples/en_sample.wav"
|
||||
labels: "https://models.silero.ai/models/en/en_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/en/en_v1_jit.model"
|
||||
onnx: "https://models.silero.ai/models/en/en_v1.onnx"
|
||||
tf: "https://models.silero.ai/models/en/en_v1_tf.tar.gz"
|
||||
de:
|
||||
latest:
|
||||
meta:
|
||||
name: "de_v1"
|
||||
sample: "https://models.silero.ai/examples/de_sample.wav"
|
||||
labels: "https://models.silero.ai/models/de/de_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/de/de_v1_jit.model"
|
||||
onnx: "https://models.silero.ai/models/de/de_v1.onnx"
|
||||
tf: "https://models.silero.ai/models/de/de_v1_tf.tar.gz"
|
||||
v1:
|
||||
meta:
|
||||
name: "de_v1"
|
||||
sample: "https://models.silero.ai/examples/de_sample.wav"
|
||||
labels: "https://models.silero.ai/models/de/de_v1_labels.json"
|
||||
jit_large: "https://models.silero.ai/models/de/de_v1_jit.model"
|
||||
onnx: "https://models.silero.ai/models/de/de_v1.onnx"
|
||||
tf: "https://models.silero.ai/models/de/de_v1_tf.tar.gz"
|
||||
v3:
|
||||
meta:
|
||||
name: "de_v3"
|
||||
sample: "https://models.silero.ai/examples/de_sample.wav"
|
||||
labels: "https://models.silero.ai/models/de/de_v1_labels.json"
|
||||
jit_large: "https://models.silero.ai/models/de/de_v3_large.jit"
|
||||
v4:
|
||||
meta:
|
||||
name: "de_v4"
|
||||
sample: "https://models.silero.ai/examples/de_sample.wav"
|
||||
labels: "https://models.silero.ai/models/de/de_v1_labels.json"
|
||||
jit_large: "https://models.silero.ai/models/de/de_v4_large.jit"
|
||||
onnx_large: "https://models.silero.ai/models/de/de_v4_large.onnx"
|
||||
es:
|
||||
latest:
|
||||
meta:
|
||||
name: "es_v1"
|
||||
sample: "https://models.silero.ai/examples/es_sample.wav"
|
||||
labels: "https://models.silero.ai/models/es/es_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/es/es_v1_jit.model"
|
||||
onnx: "https://models.silero.ai/models/es/es_v1.onnx"
|
||||
tf: "https://models.silero.ai/models/es/es_v1_tf.tar.gz"
|
||||
ua:
|
||||
latest:
|
||||
meta:
|
||||
name: "ua_v3"
|
||||
sample: "https://models.silero.ai/examples/ua_sample.wav"
|
||||
credits:
|
||||
datasets:
|
||||
speech-recognition-uk: https://github.com/egorsmkv/speech-recognition-uk
|
||||
labels: "https://models.silero.ai/models/ua/ua_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/ua/ua_v3_jit.model"
|
||||
jit_q: "https://models.silero.ai/models/ua/ua_v3_jit_q.model"
|
||||
onnx: "https://models.silero.ai/models/ua/ua_v3.onnx"
|
||||
v3:
|
||||
meta:
|
||||
name: "ua_v3"
|
||||
sample: "https://models.silero.ai/examples/ua_sample.wav"
|
||||
credits:
|
||||
datasets:
|
||||
speech-recognition-uk: https://github.com/egorsmkv/speech-recognition-uk
|
||||
labels: "https://models.silero.ai/models/ua/ua_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/ua/ua_v3_jit.model"
|
||||
jit_q: "https://models.silero.ai/models/ua/ua_v3_jit_q.model"
|
||||
onnx: "https://models.silero.ai/models/ua/ua_v3.onnx"
|
||||
v1:
|
||||
meta:
|
||||
name: "ua_v1"
|
||||
sample: "https://models.silero.ai/examples/ua_sample.wav"
|
||||
credits:
|
||||
datasets:
|
||||
speech-recognition-uk: https://github.com/egorsmkv/speech-recognition-uk
|
||||
labels: "https://models.silero.ai/models/ua/ua_v1_labels.json"
|
||||
jit: "https://models.silero.ai/models/ua/ua_v1_jit.model"
|
||||
jit_q: "https://models.silero.ai/models/ua/ua_v1_jit_q.model"
|
||||
tts_models:
|
||||
ru:
|
||||
ru_v3:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/ru_v3.pt'
|
||||
sample_rate: [8000, 24000, 48000]
|
||||
aidar_v2:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/v2_aidar.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
aidar_8khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_aidar_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_aidar_8000.jit'
|
||||
sample_rate: 8000
|
||||
aidar_16khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_aidar_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_aidar_16000.jit'
|
||||
sample_rate: 16000
|
||||
baya_v2:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/v2_baya.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
baya_8khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_baya_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_baya_8000.jit'
|
||||
sample_rate: 8000
|
||||
baya_16khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_baya_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_baya_16000.jit'
|
||||
sample_rate: 16000
|
||||
irina_v2:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/v2_irina.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
irina_8khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_irina_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_irina_8000.jit'
|
||||
sample_rate: 8000
|
||||
irina_16khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_irina_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_irina_16000.jit'
|
||||
sample_rate: 16000
|
||||
kseniya_v2:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/v2_kseniya.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
kseniya_8khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_kseniya_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_kseniya_8000.jit'
|
||||
sample_rate: 8000
|
||||
kseniya_16khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_kseniya_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_kseniya_16000.jit'
|
||||
sample_rate: 16000
|
||||
natasha_v2:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/v2_natasha.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
natasha_8khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_natasha_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_natasha_8000.jit'
|
||||
sample_rate: 8000
|
||||
natasha_16khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_natasha_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_natasha_16000.jit'
|
||||
sample_rate: 16000
|
||||
ruslan_v2:
|
||||
latest:
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
package: 'https://models.silero.ai/models/tts/ru/v2_ruslan.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
ruslan_8khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_ruslan_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_ruslan_8000.jit'
|
||||
sample_rate: 8000
|
||||
ruslan_16khz:
|
||||
latest:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_ruslan_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~абвгдеёжзийклмнопрстуфхцчшщъыьэюя +.,!?…:;–'
|
||||
example: 'В н+едрах т+ундры в+ыдры в г+етрах т+ырят в в+ёдра +ядра к+едров.'
|
||||
jit: 'https://models.silero.ai/models/tts/ru/v1_ruslan_16000.jit'
|
||||
sample_rate: 16000
|
||||
en:
|
||||
lj_v2:
|
||||
latest:
|
||||
example: 'Can you can a canned can into an un-canned can like a canner can can a canned can into an un-canned can?'
|
||||
package: 'https://models.silero.ai/models/tts/en/v2_lj.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
lj_8khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyz .,!?…:;–'
|
||||
example: 'Can you can a canned can into an un-canned can like a canner can can a canned can into an un-canned can?'
|
||||
jit: 'https://models.silero.ai/models/tts/en/v1_lj_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyz .,!?…:;–'
|
||||
example: 'Can you can a canned can into an un-canned can like a canner can can a canned can into an un-canned can?'
|
||||
jit: 'https://models.silero.ai/models/tts/en/v1_lj_8000.jit'
|
||||
sample_rate: 8000
|
||||
lj_16khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyz .,!?…:;–'
|
||||
example: 'Can you can a canned can into an un-canned can like a canner can can a canned can into an un-canned can?'
|
||||
jit: 'https://models.silero.ai/models/tts/en/v1_lj_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyz .,!?…:;–'
|
||||
example: 'Can you can a canned can into an un-canned can like a canner can can a canned can into an un-canned can?'
|
||||
jit: 'https://models.silero.ai/models/tts/en/v1_lj_16000.jit'
|
||||
sample_rate: 16000
|
||||
de:
|
||||
thorsten_v2:
|
||||
latest:
|
||||
example: 'Fischers Fritze fischt frische Fische, Frische Fische fischt Fischers Fritze.'
|
||||
package: 'https://models.silero.ai/models/tts/de/v2_thorsten.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
thorsten_8khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzäöüß .,!?…:;–'
|
||||
example: 'Fischers Fritze fischt frische Fische, Frische Fische fischt Fischers Fritze.'
|
||||
jit: 'https://models.silero.ai/models/tts/de/v1_thorsten_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzäöüß .,!?…:;–'
|
||||
example: 'Fischers Fritze fischt frische Fische, Frische Fische fischt Fischers Fritze.'
|
||||
jit: 'https://models.silero.ai/models/tts/de/v1_thorsten_8000.jit'
|
||||
sample_rate: 8000
|
||||
thorsten_16khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzäöüß .,!?…:;–'
|
||||
example: 'Fischers Fritze fischt frische Fische, Frische Fische fischt Fischers Fritze.'
|
||||
jit: 'https://models.silero.ai/models/tts/de/v1_thorsten_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzäöüß .,!?…:;–'
|
||||
example: 'Fischers Fritze fischt frische Fische, Frische Fische fischt Fischers Fritze.'
|
||||
jit: 'https://models.silero.ai/models/tts/de/v1_thorsten_16000.jit'
|
||||
sample_rate: 16000
|
||||
es:
|
||||
tux_v2:
|
||||
latest:
|
||||
example: 'Hoy ya es ayer y ayer ya es hoy, ya llegó el día, y hoy es hoy.'
|
||||
package: 'https://models.silero.ai/models/tts/es/v2_tux.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
tux_8khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzáéíñóú .,!?…:;–¡¿'
|
||||
example: 'Hoy ya es ayer y ayer ya es hoy, ya llegó el día, y hoy es hoy.'
|
||||
jit: 'https://models.silero.ai/models/tts/es/v1_tux_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzáéíñóú .,!?…:;–¡¿'
|
||||
example: 'Hoy ya es ayer y ayer ya es hoy, ya llegó el día, y hoy es hoy.'
|
||||
jit: 'https://models.silero.ai/models/tts/es/v1_tux_8000.jit'
|
||||
sample_rate: 8000
|
||||
tux_16khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzáéíñóú .,!?…:;–¡¿'
|
||||
example: 'Hoy ya es ayer y ayer ya es hoy, ya llegó el día, y hoy es hoy.'
|
||||
jit: 'https://models.silero.ai/models/tts/es/v1_tux_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzáéíñóú .,!?…:;–¡¿'
|
||||
example: 'Hoy ya es ayer y ayer ya es hoy, ya llegó el día, y hoy es hoy.'
|
||||
jit: 'https://models.silero.ai/models/tts/es/v1_tux_16000.jit'
|
||||
sample_rate: 16000
|
||||
fr:
|
||||
gilles_v2:
|
||||
latest:
|
||||
example: 'Je suis ce que je suis, et si je suis ce que je suis, qu’est ce que je suis.'
|
||||
package: 'https://models.silero.ai/models/tts/fr/v2_gilles.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
gilles_8khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzéàèùâêîôûç .,!?…:;–'
|
||||
example: 'Je suis ce que je suis, et si je suis ce que je suis, qu’est ce que je suis.'
|
||||
jit: 'https://models.silero.ai/models/tts/fr/v1_gilles_8000.jit'
|
||||
sample_rate: 8000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzéàèùâêîôûç .,!?…:;–'
|
||||
example: 'Je suis ce que je suis, et si je suis ce que je suis, qu’est ce que je suis.'
|
||||
jit: 'https://models.silero.ai/models/tts/fr/v1_gilles_8000.jit'
|
||||
sample_rate: 8000
|
||||
gilles_16khz:
|
||||
latest:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzéàèùâêîôûç .,!?…:;–'
|
||||
example: 'Je suis ce que je suis, et si je suis ce que je suis, qu’est ce que je suis.'
|
||||
jit: 'https://models.silero.ai/models/tts/fr/v1_gilles_16000.jit'
|
||||
sample_rate: 16000
|
||||
v1:
|
||||
tokenset: '_~abcdefghijklmnopqrstuvwxyzéàèùâêîôûç .,!?…:;–'
|
||||
example: 'Je suis ce que je suis, et si je suis ce que je suis, qu’est ce que je suis.'
|
||||
jit: 'https://models.silero.ai/models/tts/fr/v1_gilles_16000.jit'
|
||||
sample_rate: 16000
|
||||
ba:
|
||||
aigul_v2:
|
||||
latest:
|
||||
example: 'Салауат Юлаевтың тормошо һәм яҙмышы хаҡындағы документтарҙың һәм шиғри әҫәрҙәренең бик аҙ өлөшө генә һаҡланған.'
|
||||
package: 'https://models.silero.ai/models/tts/ba/v2_aigul.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
language_name: 'bashkir'
|
||||
xal:
|
||||
erdni_v2:
|
||||
latest:
|
||||
example: 'Һорвн, дөрвн күн ирәд, һазань чиңгнв. Байн Цецн хаана һорвн көвүн күүндҗәнә.'
|
||||
package: 'https://models.silero.ai/models/tts/xal/v2_erdni.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
language_name: 'kalmyk'
|
||||
tt:
|
||||
dilyara_v2:
|
||||
latest:
|
||||
example: 'Ис+әнмесез, с+аумысез, нишл+әп кәҗәгезн+е с+аумыйсыз, әтәчег+ез күк+әй салг+ан, нишл+әп чыг+ып +алмыйсыз.'
|
||||
package: 'https://models.silero.ai/models/tts/tt/v2_dilyara.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
language_name: 'tatar'
|
||||
uz:
|
||||
dilnavoz_v2:
|
||||
latest:
|
||||
example: 'Tanishganimdan xursandman.'
|
||||
package: 'https://models.silero.ai/models/tts/uz/v2_dilnavoz.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
language_name: 'uzbek'
|
||||
ua:
|
||||
mykyta_v2:
|
||||
latest:
|
||||
example: 'К+отики - пухн+асті жив+отики.'
|
||||
package: 'https://models.silero.ai/models/tts/ua/v22_mykyta_48k.pt'
|
||||
sample_rate: [8000, 24000, 48000]
|
||||
language_name: 'ukrainian'
|
||||
multi:
|
||||
multi_v2:
|
||||
latest:
|
||||
package: 'https://models.silero.ai/models/tts/multi/v2_multi.pt'
|
||||
sample_rate: [8000, 16000]
|
||||
speakers:
|
||||
aidar:
|
||||
lang: 'ru'
|
||||
example: 'Съ+ешьте ещ+ё +этих м+ягких франц+узских б+улочек, д+а в+ыпейте ч+аю.'
|
||||
baya:
|
||||
lang: 'ru'
|
||||
example: 'Съ+ешьте ещ+ё +этих м+ягких франц+узских б+улочек, д+а в+ыпейте ч+аю.'
|
||||
kseniya:
|
||||
lang: 'ru'
|
||||
example: 'Съ+ешьте ещ+ё +этих м+ягких франц+узских б+улочек, д+а в+ыпейте ч+аю.'
|
||||
irina:
|
||||
lang: 'ru'
|
||||
example: 'Съ+ешьте ещ+ё +этих м+ягких франц+узских б+улочек, д+а в+ыпейте ч+аю.'
|
||||
ruslan:
|
||||
lang: 'ru'
|
||||
example: 'Съ+ешьте ещ+ё +этих м+ягких франц+узских б+улочек, д+а в+ыпейте ч+аю.'
|
||||
natasha:
|
||||
lang: 'ru'
|
||||
example: 'Съ+ешьте ещ+ё +этих м+ягких франц+узских б+улочек, д+а в+ыпейте ч+аю.'
|
||||
thorsten:
|
||||
lang: 'de'
|
||||
example: 'Fischers Fritze fischt frische Fische, Frische Fische fischt Fischers Fritze.'
|
||||
tux:
|
||||
lang: 'es'
|
||||
example: 'Hoy ya es ayer y ayer ya es hoy, ya llegó el día, y hoy es hoy.'
|
||||
gilles:
|
||||
lang: 'fr'
|
||||
example: 'Je suis ce que je suis, et si je suis ce que je suis, qu’est ce que je suis.'
|
||||
lj:
|
||||
lang: 'en'
|
||||
example: 'Can you can a canned can into an un-canned can like a canner can can a canned can into an un-canned can?'
|
||||
dilyara:
|
||||
lang: 'tt'
|
||||
example: 'Пес+и пес+и песик+әй, борыннар+ы бәләк+әй.'
|
||||
te_models:
|
||||
latest:
|
||||
package: "https://models.silero.ai/te_models/v2_4lang_q.pt"
|
||||
languages: ['en', 'de', 'ru', 'es']
|
||||
punct: '.,-!?—'
|
||||
v2:
|
||||
package: "https://models.silero.ai/te_models/v2_4lang_q.pt"
|
||||
languages: ['en', 'de', 'ru', 'es']
|
||||
punct: '.,-!?—'
|
||||
81
main.py
Normal file
81
main.py
Normal file
@@ -0,0 +1,81 @@
|
||||
# КЕША 2.0
|
||||
|
||||
import config
|
||||
import stt
|
||||
import tts
|
||||
from fuzzywuzzy import fuzz
|
||||
import datetime
|
||||
from num2t4ru import num2text
|
||||
import webbrowser
|
||||
import random
|
||||
|
||||
|
||||
print(f"{config.VA_NAME} (v{config.VA_VER}) начал свою работу ...")
|
||||
|
||||
|
||||
def va_respond(voice: str):
|
||||
print(voice)
|
||||
if voice.startswith(config.VA_ALIAS):
|
||||
# обращаются к ассистенту
|
||||
cmd = recognize_cmd(filter_cmd(voice))
|
||||
|
||||
if cmd['cmd'] not in config.VA_CMD_LIST.keys():
|
||||
tts.va_speak("Что?")
|
||||
else:
|
||||
execute_cmd(cmd['cmd'])
|
||||
|
||||
|
||||
def filter_cmd(raw_voice: str):
|
||||
cmd = raw_voice
|
||||
|
||||
for x in config.VA_ALIAS:
|
||||
cmd = cmd.replace(x, "").strip()
|
||||
|
||||
for x in config.VA_TBR:
|
||||
cmd = cmd.replace(x, "").strip()
|
||||
|
||||
return cmd
|
||||
|
||||
|
||||
def recognize_cmd(cmd: str):
|
||||
rc = {'cmd': '', 'percent': 0}
|
||||
for c, v in config.VA_CMD_LIST.items():
|
||||
|
||||
for x in v:
|
||||
vrt = fuzz.ratio(cmd, x)
|
||||
if vrt > rc['percent']:
|
||||
rc['cmd'] = c
|
||||
rc['percent'] = vrt
|
||||
|
||||
return rc
|
||||
|
||||
|
||||
def execute_cmd(cmd: str):
|
||||
if cmd == 'help':
|
||||
# help
|
||||
text = "Я умею: ..."
|
||||
text += "произносить время ..."
|
||||
text += "рассказывать анекдоты ..."
|
||||
text += "и открывать браузер"
|
||||
tts.va_speak(text)
|
||||
pass
|
||||
elif cmd == 'ctime':
|
||||
# current time
|
||||
now = datetime.datetime.now()
|
||||
text = "Сейч+ас " + num2text(now.hour) + " " + num2text(now.minute)
|
||||
tts.va_speak(text)
|
||||
|
||||
elif cmd == 'joke':
|
||||
jokes = ['Как смеются программисты? ... ехе ехе ехе',
|
||||
'ЭсКьюЭль запрос заходит в бар, подходит к двум столам и спрашивает .. «м+ожно присоединиться?»',
|
||||
'Программист это машина для преобразования кофе в код']
|
||||
|
||||
tts.va_speak(random.choice(jokes))
|
||||
|
||||
elif cmd == 'open_browser':
|
||||
chrome_path = 'C:/Program Files (x86)/Google/Chrome/Application/chrome.exe %s'
|
||||
webbrowser.get(chrome_path).open("http://python.org")
|
||||
|
||||
|
||||
# начать прослушивание команд
|
||||
stt.va_listen(va_respond)
|
||||
BIN
requirements.txt
Normal file
BIN
requirements.txt
Normal file
Binary file not shown.
BIN
speech.wav
Normal file
BIN
speech.wav
Normal file
Binary file not shown.
30
stt.py
Normal file
30
stt.py
Normal file
@@ -0,0 +1,30 @@
|
||||
import vosk
|
||||
import sys
|
||||
import sounddevice as sd
|
||||
import queue
|
||||
import json
|
||||
|
||||
model = vosk.Model("model_small")
|
||||
samplerate = 16000
|
||||
device = 1
|
||||
|
||||
q = queue.Queue()
|
||||
|
||||
|
||||
def q_callback(indata, frames, time, status):
|
||||
if status:
|
||||
print(status, file=sys.stderr)
|
||||
q.put(bytes(indata))
|
||||
|
||||
|
||||
def va_listen(callback):
|
||||
with sd.RawInputStream(samplerate=samplerate, blocksize=8000, device=device, dtype='int16',
|
||||
channels=1, callback=q_callback):
|
||||
|
||||
rec = vosk.KaldiRecognizer(model, samplerate)
|
||||
while True:
|
||||
data = q.get()
|
||||
if rec.AcceptWaveform(data):
|
||||
callback(json.loads(rec.Result())["text"])
|
||||
#else:
|
||||
# print(rec.PartialResult())
|
||||
35
tts.py
Normal file
35
tts.py
Normal file
@@ -0,0 +1,35 @@
|
||||
import torch
|
||||
import sounddevice as sd
|
||||
import time
|
||||
|
||||
language = 'ru'
|
||||
model_id = 'ru_v3'
|
||||
sample_rate = 48000 # 48000
|
||||
speaker = 'aidar' # aidar, baya, kseniya, xenia, random
|
||||
put_accent = True
|
||||
put_yo = True
|
||||
device = torch.device('cpu') # cpu или gpu
|
||||
text = "Хауди Хо, друзья!!!"
|
||||
|
||||
model, _ = torch.hub.load(repo_or_dir='snakers4/silero-models',
|
||||
model='silero_tts',
|
||||
language=language,
|
||||
speaker=model_id)
|
||||
model.to(device)
|
||||
|
||||
|
||||
# воспроизводим
|
||||
def va_speak(what: str):
|
||||
audio = model.apply_tts(text=what+"..",
|
||||
speaker=speaker,
|
||||
sample_rate=sample_rate,
|
||||
put_accent=put_accent,
|
||||
put_yo=put_yo)
|
||||
|
||||
sd.play(audio, sample_rate * 1.05)
|
||||
time.sleep((len(audio) / sample_rate) + 0.5)
|
||||
sd.stop()
|
||||
|
||||
# sd.play(audio, sample_rate)
|
||||
# time.sleep(len(audio) / sample_rate)
|
||||
# sd.stop()
|
||||
Reference in New Issue
Block a user