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
Fake Shakespearean Text Generator

Fake Shakespearean Text Generator This project contains an impelementation of stateful Char-RNN model to generate fake shakespearean texts. Files and

Recep YILDIRIM 1 Feb 15, 2022
Mlcode - Continuous ML API Integrations

mlcode Basic APIs for ML applications. Django REST Application Contains REST API

Sujith S 1 Jan 01, 2022
Non-Autoregressive Predictive Coding

Non-Autoregressive Predictive Coding This repository contains the implementation of Non-Autoregressive Predictive Coding (NPC) as described in the pre

Alexander H. Liu 43 Nov 15, 2022
Codename generator using WordNet parts of speech database

codenames Codename generator using WordNet parts of speech database References: https://possiblywrong.wordpress.com/2021/09/13/code-name-generator/ ht

possiblywrong 27 Oct 30, 2022
Natural Language Processing library built with AllenNLP 🌲🌱

Custom Natural Language Processing with big and small models 🌲🌱

Recognai 65 Sep 13, 2022
A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

A2T: Towards Improving Adversarial Training of NLP Models This is the source code for the EMNLP 2021 (Findings) paper "Towards Improving Adversarial T

QData 17 Oct 15, 2022
A method for cleaning and classifying text using transformers.

NLP Translation and Classification The repository contains a method for classifying and cleaning text using NLP transformers. Overview The input data

Ray Chamidullin 0 Nov 15, 2022
An implementation of WaveNet with fast generation

pytorch-wavenet This is an implementation of the WaveNet architecture, as described in the original paper. Features Automatic creation of a dataset (t

Vincent Herrmann 858 Dec 27, 2022
official ( API ) for the zAmericanEnglish app in [ Google play ] and [ App store ]

official ( API ) for the zAmericanEnglish app in [ Google play ] and [ App store ]

Plugin 3 Jan 12, 2022
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the

Meta Research 1.1k Jan 07, 2023
Code to reprudece NeurIPS paper: Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks

Accelerated Sparse Neural Training: A Provable and Efficient Method to FindN:M Transposable Masks Recently, researchers proposed pruning deep neural n

itay hubara 4 Feb 23, 2022
Samantha, A covid-19 information bot which will provide basic information about this pandemic in form of conversation.

Covid-19-BOT Samantha, A covid-19 information bot which will provide basic information about this pandemic in form of conversation. This bot uses torc

Neeraj Majhi 2 Nov 05, 2021
Text editor on python to convert english text to malayalam(Romanization/Transiteration).

Manglish Text Editor This is a simple transiteration (romanization ) program which is used to convert manglish to malayalam (converts njaan to ഞാൻ ).

Merin Rose Tom 1 May 11, 2022
Chinese segmentation library

What is loso? loso is a Chinese segmentation system written in Python. It was developed by Victor Lin ( Fang-Pen Lin 82 Jun 28, 2022

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
✨Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.

✨A Python framework to explore, label, and monitor data for NLP projects

Recognai 1.5k Jan 02, 2023
Transformers Wav2Vec2 + Parlance's CTCDecodeTransformers Wav2Vec2 + Parlance's CTCDecode

🤗 Transformers Wav2Vec2 + Parlance's CTCDecode Introduction This repo shows how 🤗 Transformers can be used in combination with Parlance's ctcdecode

Patrick von Platen 9 Jul 21, 2022
Phrase-Based & Neural Unsupervised Machine Translation

Unsupervised Machine Translation This repository contains the original implementation of the unsupervised PBSMT and NMT models presented in Phrase-Bas

Facebook Research 1.5k Dec 28, 2022
Ecommerce product title recognition package

revizor This package solves task of splitting product title string into components, like type, brand, model and article (or SKU or product code or you

Bureaucratic Labs 16 Mar 03, 2022
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Quickly train T5 models in just 3 lines of code + ONNX support simpleT5 is built on top of PyTorch-lightning ⚡️ and Transformers 🤗 that lets you quic

Shivanand Roy 220 Dec 30, 2022