1978 Open source projects that are alternatives of or similar to Awesome Speech Recognition Speech Synthesis Papers

Examples on how to use Tinkoff Voicekit

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

Official implementation of EdiTTS: Score-based Editing for Controllable Text-to-Speech

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

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

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Pointer-generator reinforced seq2seq summarization in PyTorch

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

CNN-RNN中文文本分类，基于TensorFlow

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

🧠 Leon is your open-source personal assistant.

TTS (Tacotron + WaveRNN)

Cortex M KWS example with Tengine Lite.

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

Open tools and data for cloudless 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.

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"

language model in Chinese，基于Pytorch官方文档实现

End-to-End Speech Processing Toolkit

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

MARY TTS -- an open-source, multilingual text-to-speech synthesis system written in pure java

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

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

A Python wrapper for Kaldi

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

Boilerplate code for quickly getting set up to run language modeling experiments

HTS-style full-context labels for JSUT v1.1

kaldi-asr/kaldi is the official location of the Kaldi project.

End to End Dialect Identification using Convolutional Neural Network

A collection of basic python modules for spoken natural language processing

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

Sequence to sequence learning with MXNET

The Official Deep Learning Framework for Route-based Place Recognition

Simple speech linguistic AI with Python

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

speech-to-text in pytorch

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

A Tensorfflow implementation of Attend, Infer, Repeat

Detecting emotions using MFCC features of human speech using Deep Learning

Cross-lingual Voice Conversion

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

Automatic Speech Recognition(ASR), Text-To-Speech(TTS) engine for Chinese.

A fast cnn-based vocoder

CNN, LSTM, NBOW, fasttext 中文文本分类

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Datasets, tools, and benchmarks for representation learning of code.

1st place solution

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

A Pytorch Implementation of Tacotron: End-to-end Text-to-speech Deep-Learning Model

Attention-guided CNN for image denoising(Neural Networks,2020)

WaveRNN Vocoder + TTS

Crystal - C++ implementation of a unified framework for multilingual TTS synthesis engine with SSML specification as interface.

PyTorch tutorial for learners