202 Open source projects that are alternatives of or similar to gtranscribe

AdaSpeech: Adaptive Text to Speech for Custom Voice

A speech denoise lv2 plugin based on RNNoise library

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

End-2-end speech synthesis with recurrent neural networks

A MXNet implementation of Baidu's DeepSpeech architecture

Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

Collection of auditory models.

Speech synthesis for ESP8266 using S.A.M. port

Сценарии для системы домашней автоматизации Majordomo

SDK & Sample to do speech recognition using websockets in Javascript

Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Sequence Segmentation using Joint RNN and Structured Prediction Models (ICASSP 2017)

A React-Native Bridge for the Google Dialogflow (API.AI) SDK

ICASSP 2019 official Latex template

End-to-End Automatic Speech Recognition on PyTorch

Glaemscribe, the tolkienian languages/writings transcription engine.

An Android ChatBot powered by Watson Services - Assistant, Speech-to-Text and Text-to-Speech on IBM Cloud.

24-hour Automatic Speech Recognition

Speech Recognition Using Tacotron

PyTorch implementation of Tacotron speech synthesis model.

aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

PyTorch reimplementation of per-channel energy normalization for audio.

A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

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

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Convert text to speech using Google Translate API

Voice Activity Detection based on Deep Learning & TensorFlow

Converts an audio file to LINEAR16 Google-speech compatible file.

A physical model of the human vocal tract using literate programming, based on Pink Trombone.

Voice control for your websites and applications

An example of the paper "reconstructing faces from voices"

Official implementation of Meta-StyleSpeech and StyleSpeech

ASR with PyTorch

An end-to-end system that performs temporal recognition of gesture sequences using speech and skeletal input. The model combines three networks with a CTC output layer that recognises gestures from continuous stream.

Text-to-Speech for Arduino

Python helper for Google and IBM Watson speech-to-text cloud APIs.

Deep Learning-based Voice Conversion system

💬 A speech bubble dialog component for React Native.

Implementation of "Duration Informed Attention Network for Multimodal Synthesis" (https://arxiv.org/pdf/1909.01700.pdf) paper.

https://dodiku.github.io/audio_noise_clustering/results/ ==> An experiment with a variety of clustering (and clustering-like) techniques to reduce noise on an audio speech recording.

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

🎙️ Handsfree Audio Development Interface

Massively multilingual pronunciation mining

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

Speech Enhancement using Bayesian WaveNet

🦄 Cool & Fun Browser Web APIs 🥳

Open-Source Large Vocabulary Continuous Speech Recognition Engine

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

A PaddlePaddle implementation of ASR.

Gender recognition by voice and speech analysis

自然语言处理领域下的对话语音领域，整理相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

Mobile application for exploring fitness data using both speech and touch interaction.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

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

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Joint Dictionary Learning-based Non-Negative Matrix Factorization for Voice Conversion (TBME 2016)

Emailing System for visually impaired persons

A list of publicly available room impulse response datasets and scripts to download them.