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Merge pull request #549 from snakers4/adamnsandle
Adamnsandle
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‎examples/pyaudio-streaming/README.md‎

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Currently, the notebook consits of two examples:
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- One that records audio of a predefined length from the microphone, process it with Silero-VAD, and plots it afterwards.
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- The other one plots the speech probabilities in real-time (using jupyterplot) and records the audio until you press enter.
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This example does not work in google colab! For local usage only.
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## Example Video for the Real-Time Visualization
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‎examples/pyaudio-streaming/pyaudio-streaming-examples.ipynb‎

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"cells": [
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{
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"cell_type": "markdown",
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"id": "62a0cccb",
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"id": "76aa55ba",
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"metadata": {},
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"source": [
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"# Pyaudio Microphone Streaming Examples\n",
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"I created it as an example on how binary data from a stream could be feed into Silero VAD.\n",
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"\n",
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"\n",
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"Has been tested on Ubuntu 21.04 (x86). After you installed the dependencies below, no additional setup is required."
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"Has been tested on Ubuntu 21.04 (x86). After you installed the dependencies below, no additional setup is required.\n",
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"\n",
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"This notebook does not work in google colab! For local usage only."
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]
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},
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{
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"cell_type": "markdown",
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"id": "64cbe1eb",
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"id": "4a4e15c2",
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"metadata": {},
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"source": [
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"## Dependencies\n",
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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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"id": "57bc2aac",
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"metadata": {},
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"execution_count": 1,
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"id": "24205cce",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-10-09T08:47:34.056898Z",
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"start_time": "2024-10-09T08:47:34.053418Z"
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}
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},
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"outputs": [],
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"source": [
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"#!pip install numpy==2.0.2\n",
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"#!pip install torch==2.4.1\n",
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"#!pip install matplotlib==3.9.2\n",
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"#!pip install torchaudio==2.4.1\n",
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"#!pip install numpy>=1.24.0\n",
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"#!pip install torch>=1.12.0\n",
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"#!pip install matplotlib>=3.6.0\n",
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"#!pip install torchaudio>=0.12.0\n",
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"#!pip install soundfile==0.12.1\n",
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"#!pip install pyaudio==0.2.11"
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"#!apt install python3-pyaudio (linux) or pip install pyaudio (windows)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "cd22818f",
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"metadata": {},
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"source": [
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"## Imports"
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]
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},
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"cell_type": "code",
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"metadata": {},
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"outputs": [],
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"execution_count": 2,
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"id": "994d7f3a",
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-10-09T08:47:39.005032Z",
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"start_time": "2024-10-09T08:47:36.489952Z"
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}
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},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'pyaudio'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[2], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpylab\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[0;32m----> 8\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpyaudio\u001b[39;00m\n",
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"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'pyaudio'"
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]
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}
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],
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"source": [
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"import io\n",
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"import numpy as np\n",
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "ac5c52f7",
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"metadata": {},
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"source": [
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{
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"cell_type": "code",
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},
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"cell_type": "markdown",
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"### Helper Methods"
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"cell_type": "markdown",
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"## Pyaudio Set-up"
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},
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"cell_type": "markdown",
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"## Simple Example\n",
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"id": "6fe77661",
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"source": [
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"cell_type": "code",
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"execution_count": null,
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"source": [
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},
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"cell_type": "markdown",
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"## Real Time Visualization\n",
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"cell_type": "code",
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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": "3.9.10"
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"version": "3.10.14"
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},
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"toc": {
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"base_numbering": 1,

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