A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk.

Overview

Simple-Vosk

A Python wrapper for simple offline real-time dictation (speech-to-text) and speaker-recognition using Vosk. Check out the official Vosk GitHub page for the original API (documentation + support for other languages).

This module was created to make using a simple implementation of Vosk very quick and easy. It is intended for rapid prototyping and experimenting; not for production use.

For example, I used this module in a quick personal-assistant program.

Features

  • Uses Vosk: lightweight, multilingual, offline, and fast speech recognition.
  • Runs in background thread (non-blocking).
  • Both complete-sentence and real-time outputs.
  • Optional speaker-recognition (using X-Vectors).
  • Configurable filter-phrase list (eliminate common false outputs).

Requirements

Should work with Python 3.6+. Tested with Python 3.8.7 on Windows 10 1903.

Python Modules: (see requirements.txt)

  • vosk
  • sounddevice
  • numpy

You will also need to download Vosk models; one for your language of choice, and (if desired) the speaker-recognition model. Both can be found on the Vosk models page. If you don't use speaker recognition, you only need the one model.

Examples

This repository contains some examples of usage; ExampleSimpleDictation.py, ExampleSpeakerRecognition.py, and ExampleNonBlocking.py. Check the Documentation.md file for more in-depth info.

Below is the simplest implementation to get a fully-functioning speech-recognition system.

import simpleVosk as sv

def prnt(txt, spk, full):
	print(txt)

s = sv.Speech(callback=prnt, model="model")
s.run(blocking=True)

Troubleshooting

Make sure your default input device is working, and/or ensure you are passing the correct DeviceID to the Speech object. You can see device IDs with the listDevices() method in simpleVosk.py.

Make sure you have Windows microphone access enabled. Having this disabled can cause errors similar to this: sounddevice.PortAudioError: Error opening RawInputStream: Unanticipated host error [PaErrorCode -9999]: 'Undefined external error.' [MME error 1]

A Note on Conventions

This project goes against some standard Python conventions:

  • It uses camelCase for naming methods (and files) rather than snake_case
  • Tabs are used rather than 4 spaces for indentation (as I am a sane human being)
  • Non-standard docstring formats are being used

Future Plans

  • Add ability to add custom words/phrases (KaldiRecognizer appears to only accept replacement dictionaries)
  • Use proper docstrings
Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks

TestRank in Pytorch Code for the paper TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks by Yu Li, Min Li, Qiuxia Lai, Ya

3 May 19, 2022
Neural network sequence labeling model

Sequence labeler This is a neural network sequence labeling system. Given a sequence of tokens, it will learn to assign labels to each token. Can be u

Marek Rei 250 Nov 03, 2022
Data manipulation and transformation for audio signal processing, powered by PyTorch

torchaudio: an audio library for PyTorch The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the

1.9k Jan 08, 2023
Weaviate demo with the text2vec-openai module

Weaviate demo with the text2vec-openai module This repository contains an example of how to use the Weaviate text2vec-openai module. When using this d

SeMI Technologies 11 Nov 11, 2022
🕹 An esoteric language designed so that the program looks like the transcript of a Pokémon battle

PokéBattle is an esoteric language designed so that the program looks like the transcript of a Pokémon battle. Original inspiration and specification

Eduardo Correia 9 Jan 11, 2022
DELTA is a deep learning based natural language and speech processing platform.

DELTA - A DEep learning Language Technology plAtform What is DELTA? DELTA is a deep learning based end-to-end natural language and speech processing p

DELTA 1.5k Dec 26, 2022
A benchmark for evaluation and comparison of various NLP tasks in Persian language.

Persian NLP Benchmark The repository aims to track existing natural language processing models and evaluate their performance on well-known datasets.

Mofid AI 68 Dec 19, 2022
DeBERTa: Decoding-enhanced BERT with Disentangled Attention

DeBERTa: Decoding-enhanced BERT with Disentangled Attention This repository is the official implementation of DeBERTa: Decoding-enhanced BERT with Dis

Microsoft 1.2k Jan 03, 2023
Implementation of Multistream Transformers in Pytorch

Multistream Transformers Implementation of Multistream Transformers in Pytorch. This repository deviates slightly from the paper, where instead of usi

Phil Wang 47 Jul 26, 2022
Training code for Korean multi-class sentiment analysis

KoSentimentAnalysis Bert implementation for the Korean multi-class sentiment analysis 왜 한국어 감정 다중분류 모델은 거의 없는 것일까?에서 시작된 프로젝트 Environment: Pytorch, Da

Donghoon Shin 3 Dec 02, 2022
GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot, a language model

GPT-Code-Clippy (GPT-CC) is an open source version of GitHub Copilot, a language model -- based on GPT-3, called GPT-Codex -- that is fine-tuned on publicly available code from GitHub.

Nathan Cooper 2.3k Jan 01, 2023
STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch.

st3 STT for TorchScript is a port of Coqui STT based on DeepSpeech to PyTorch. Currently it supports converting pbmm models to pt scripts with integra

Vlad Ki 8 Oct 18, 2021
Based on 125GB of data leaked from Twitch, you can see their monthly revenues from 2019-2021

Twitch Revenues Bu script'i kullanarak istediğiniz yayıncıların, Twitch'den sızdırılan 125 GB'lik veriye dayanarak, 2019-2021 arası aylık gelirlerini

4 Nov 11, 2021
pyMorfologik MorfologikpyMorfologik - Python binding for Morfologik.

Python binding for Morfologik Morfologik is Polish morphological analyzer. For more information see http://github.com/morfologik/morfologik-stemming/

Damian Mirecki 18 Dec 29, 2021
Submit issues and feature requests for our API here.

AIx GPT API Submit issues and feature requests for our API here. See https://apps.aixsolutionsgroup.com for more info. Python Quick Start pip install

AIx Solutions 7 Mar 27, 2022
构建一个多源(公众号、RSS)、干净、个性化的阅读环境

2C 构建一个多源(公众号、RSS)、干净、个性化的阅读环境 作为一名微信公众号的重度用户,公众号一直被我设为汲取知识的地方。随着使用程度的增加,相信大家或多或少会有一个比较头疼的问题——广告问题。 假设你关注的公众号有十来个,若一个公众号两周接一次广告,理论上你会面临二十多次广告,实际上会更多,运

howie.hu 678 Dec 28, 2022
Natural Language Processing Best Practices & Examples

NLP Best Practices In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive bus

Microsoft 6.1k Dec 31, 2022
KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

KoGPT KoGPT (Korean Generative Pre-trained Transformer) https://github.com/kakaobrain/kogpt https://huggingface.co/kakaobrain/kogpt Model Descriptions

Kakao Brain 797 Dec 26, 2022
FactSumm: Factual Consistency Scorer for Abstractive Summarization

FactSumm: Factual Consistency Scorer for Abstractive Summarization FactSumm is a toolkit that scores Factualy Consistency for Abstract Summarization W

devfon 83 Jan 09, 2023
运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。

OlittleRer 运小筹公众号是致力于分享运筹优化(LP、MIP、NLP、随机规划、鲁棒优化)、凸优化、强化学习等研究领域的内容以及涉及到的算法的代码实现。编程语言和工具包括Java、Python、Matlab、CPLEX、Gurobi、SCIP 等。 关注我们: 运筹小公众号 有问题可以直接在

运小筹 151 Dec 30, 2022