mirror of
https://github.com/snakers4/silero-vad.git
synced 2026-02-05 18:09:22 +08:00
270 lines
6.0 KiB
Plaintext
270 lines
6.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:24.487521Z",
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"start_time": "2020-12-14T13:43:23.780570Z"
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}
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},
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"outputs": [],
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"source": [
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"import glob\n",
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"import torch\n",
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"from IPython.display import Audio\n",
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"torch.set_num_threads(1)\n",
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"from utils import (init_jit_model, get_speech_ts, \n",
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" save_audio, read_audio, \n",
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" state_generator, single_audio_stream, init_onnx_model)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Full audio example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:24.492506Z",
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"start_time": "2020-12-14T13:43:24.489440Z"
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}
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},
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"outputs": [],
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"source": [
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"def collect_speeches(tss, wav):\n",
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" speech_chunks = []\n",
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" for i in tss:\n",
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" speech_chunks.append(wav[i['start']: i['end']])\n",
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" return torch.cat(speech_chunks)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:24.760714Z",
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"start_time": "2020-12-14T13:43:24.493992Z"
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}
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},
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"outputs": [],
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"source": [
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"model = init_jit_model('files/joint_VAD_just_RU_jit_cut_q.pth.tar', 'cpu') # from yml file\n",
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"model = init_onnx_model('files/joint_VAD_just_RU.onnx')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:24.793384Z",
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"start_time": "2020-12-14T13:43:24.762311Z"
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}
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},
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"outputs": [],
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"source": [
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"Audio('files/test_audio_2.wav')\n",
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"wav = read_audio('files/test_audio_2.wav')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:25.320324Z",
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"start_time": "2020-12-14T13:43:24.808594Z"
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}
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},
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"outputs": [],
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"source": [
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"speech_timestamps = get_speech_ts(wav, model, num_steps=4) # kill extractor"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:25.324901Z",
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"start_time": "2020-12-14T13:43:25.321759Z"
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}
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},
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"outputs": [],
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"source": [
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"speech_timestamps"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:25.344065Z",
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"start_time": "2020-12-14T13:43:25.326162Z"
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}
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},
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"outputs": [],
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"source": [
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"save_audio('only_speech.wav', collect_speeches(speech_timestamps, wav), 16000)\n",
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"Audio('only_speech.wav')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Single stream example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:25.778585Z",
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"start_time": "2020-12-14T13:43:25.496583Z"
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}
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},
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"outputs": [],
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"source": [
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"model = init_jit_model('files/joint_VAD_just_RU_jit_cut_q.pth.tar', 'cpu') # from yml file\n",
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"#model = init_onnx_model('files/joint_VAD_just_RU.onnx')\n",
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"audio = 'files/test_audio_6.wav'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:29.402604Z",
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"start_time": "2020-12-14T13:43:25.780037Z"
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}
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},
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"outputs": [],
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"source": [
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"for i in single_audio_stream(model, audio):\n",
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" if i:\n",
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" print(i)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Multiple stream example"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:29.674262Z",
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"start_time": "2020-12-14T13:43:29.403972Z"
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}
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},
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"outputs": [],
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"source": [
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"model = init_jit_model('files/joint_VAD_just_RU_jit_cut_q.pth.tar', 'cpu') # from yml file\n",
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"model = init_onnx_model('files/joint_VAD_just_RU.onnx')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:29.678449Z",
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"start_time": "2020-12-14T13:43:29.675519Z"
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}
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},
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"outputs": [],
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"source": [
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"audios_for_stream = glob.glob('files/test*.wav')\n",
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"len(audios_for_stream)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:43:40.236387Z",
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"start_time": "2020-12-14T13:43:29.679274Z"
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}
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},
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"outputs": [],
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"source": [
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"for i in state_generator(model, audios_for_stream, audios_in_stream=2):\n",
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" if i:\n",
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" print(i)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2020-12-14T13:46:49.812052Z",
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"start_time": "2020-12-14T13:46:49.586637Z"
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}
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},
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"outputs": [],
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"source": [
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"!cp ../silero-models-research/model_saves/joint_VAD_just_RU_jit_cut_q.pth.tar files/"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.3"
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},
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"toc": {
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"base_numbering": 1,
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"nav_menu": {},
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"number_sections": true,
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"sideBar": true,
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"skip_h1_title": false,
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"title_cell": "Table of Contents",
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"title_sidebar": "Contents",
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"toc_cell": false,
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"toc_position": {},
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"toc_section_display": true,
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"toc_window_display": false
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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