1560 Open source projects that are alternatives of or similar to Pykaldi

A proof-of-concept app using KeenASR SDK on Android. WE ARE HIRING: https://keenresearch.com/careers.html

Speech-to-text and keyboard input captions for OBS.

Evaluate results from ASR/Speech-to-Text quickly

A PaddlePaddle implementation of ASR.

the open-source virtual assistant for Ubuntu based Linux distributions

Mongolian speech recognition with PyTorch

Automatically constructing corpus for automatic speech recognition from YouTube videos

PyTorch Implementations for End-to-End Automatic Speech Recognition

Pronunciation lexicon covering both English and Chinese languages for Automatic Speech Recognition.

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

Production First and Production Ready End-to-End Speech Recognition Toolkit

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

An application that demostrate the usage of Syn.Speech library for Speech Recognition

WIP: pytorch FFI wrapper for Kaldi chain loss (a.k.a. Lattice Free MMI)

Kaldi model converter to ONNX

SDK & Sample to do speech recognition using websockets in Javascript

Spokestack: give your iOS app a voice interface!

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

A MXNet implementation of Baidu's DeepSpeech architecture

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

A merged version of multiple open-source German speech datasets.

how to use the Google Cloud Speech API to transcribe audio/video files.

Modular and extensible speech recognition library leveraging pytorch-lightning and hydra.

scripts to align a given wave to its transcription using trained models by Kaldi

A speech-to-text bot for discord with music commands and more using NodeJS. Ideally for controlling your Discord server using voice commands, can also be useful for hearing-impaired people.

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

Feature extraction of speech signal is the initial stage of any speech recognition system.

SDKs and docs for Skit's speech to text service

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

Useful resources for Mongolian NLP

🙊 A set of scripts to use in preparing a corpus for speech-to-text processing with the Kaldi Automatic Speech Recognition Library.

Top level code to transcribe English audio/video files into text/subtitles

End-to-end speech recognition on AISHELL dataset.

Dockerfile for kaldi-gstreamer-server.

Speech Recognition in Asterisk with Vosk Server

Vietnamese Speech Recognition

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

UniSpeech - Large Scale Self-Supervised Learning for Speech

an open-source implementation of sequence-to-sequence based speech processing engine

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

Python interface to CMU Sphinxbase and Pocketsphinx libraries

End-to-End Speech Processing Toolkit

💬 An On-Premises, Streaming Speech Recognition System

speech-aligner，是一个从“人声语音”及其“语言文本”，产生音素级别时间对齐标注的工具。speech-aligner, is a tool that generate phoneme-level alignment between human speech and its transcription

Automatic Speech Recognition in Unity.

语音识别理论，论文和PPT

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Sequence-to-Sequence Framework in PyTorch

💬 /so.nus/ STT (speech to text) for Node with offline hotword detection

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Auto Segmentation Criterion (ASG) implemented in pytorch

On-device streaming speech-to-text engine powered by deep learning

💬 Speech recognition for your site

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.