424 Open source projects that are alternatives of or similar to Espresso

Evaluate results from ASR/Speech-to-Text quickly

A list of publically available audio data that anyone can download for ASR or other speech activities

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Spokestack: give your React Native app a voice interface!

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

💬 An On-Premises, Streaming Speech Recognition System

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Docker image and scripts for training finetuned or completely personal Kaldi speech models. Particularly for use with kaldi-active-grammar.

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

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

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

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

Automatic Speech Recognition in Unity.

Kaldi model converter to ONNX

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

A PyTorch implementation of Listen, Attend and Spell (LAS), an End-to-End ASR framework.

SOVA ASR (Automatic Speech Recognition)

End-to-End Neural Diarization

transformer for ASR-systerm (via tensorflow2.0)

Speech Recognition model based off of FAIR research paper built using Pytorch.

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

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

DELTA is a deep learning based natural language and speech processing platform.

Computes the GMM-based Goodness of Pronunciation (GOP). Bases on Kaldi.

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

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

Open source projects related to Snips https://snips.ai/.

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

SincNet is a neural architecture for efficiently processing raw audio samples.

Speech Recognition in Asterisk with Vosk Server

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

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

A React component to make correcting automated transcriptions of audio and video easier and faster. By BBC News Labs. - Work in progress

Full-stack testing PHP framework

Alan AI Android SDK adds a voice assistant or chatbot to your app. Supports Java, Kotlin.

Open STT

语音api示例

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

Speech recognition toolkit for the arduino

Phonetisaurus G2P

Adapt Intent Parser

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

Alan AI Cordova SDK adds a voice assistant or chatbot to your app.

PocketSphinx is a lightweight speech recognition engine, specifically tuned for handheld and mobile devices, though it works equally well on the desktop

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

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

Adds Speech Recognition support to AutoHotkey, via a C# DLL

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

PyTorch implementation of Listen Attend and Spell Automatic Speech Recognition (ASR).

Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.

中文语音识别

On-device speech-to-intent engine powered by deep learning

A library to display and compare spinorama (speakers measurements) graphs.

In this work I investigate the speech command task developing and analyzing deep learning models. The state of the art technology uses convolutional neural networks (CNN) because of their intrinsic nature of learning correlated represen- tations as is the speech. In particular I develop different CNNs trained on the Google Speech Command Dataset…

⚡️ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Kim，你的私人语音助理。

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

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