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37 search results found

NeMo: a toolkit for conversational AI

Espnet ⭐ 7,563

End-to-End Speech Processing Toolkit

Speechbrain ⭐ 7,166

A PyTorch-based Speech Toolkit

Vosk Api ⭐ 6,633

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Pytorch Kaldi ⭐ 2,138

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

Delta ⭐ 1,584

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

Whisper Timestamped ⭐ 1,217

Multilingual Automatic Speech Recognition with word-level timestamps and confidence

Sincnet ⭐ 764

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

基于PaddlePaddle实现端到端中文语音识别，从入门到实战，超简单的入门案例，超实用的企业项目

Libreasr ⭐ 647

💬 An On-Premises, Streaming Speech Recognition System

Paddlepaddle Deepspeech ⭐ 536

基于PaddlePaddle实现的语音识别，中文语音识别。项目完善，识别效果好。支持Windows， Jetson开发板预测。

Pytorch实现的流式与非流式的自动语音识别框架，同时兼容在线和离线识别，目前支持Conforme

Nmtpytorch ⭐ 395

Sequence-to-Sequence Framework in PyTorch

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Hms Ml Demo ⭐ 333

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

Kerasdeepspeech ⭐ 244

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Speech_dataset ⭐ 229

The dataset of Speech Recognition

Asr_theory ⭐ 221

语音识别理论，论文和PPT

Chinese Automatic Speech Recognition ⭐ 157

Chinese speech recognition

Ai edge toolbox，专门面向边端设备尤其是嵌入式RTOS平台，AI模型部署工具链，包括模型推理引擎和模型

Spokestack Python ⭐ 124

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

Las_mandarin_pytorch ⭐ 104

Listen, attend and spell Model and a Chinese Mandarin Pretrained model (中文-普通话 ASR模型)

Whisper Auto Transcribe ⭐ 91

Auto transcribe tool based on whisper

Mongolian Speech Recognition ⭐ 86

Mongolian speech recognition with PyTorch

Wav2letter ⭐ 70

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

Keras Sincnet ⭐ 49

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

ASRDeepspeech x Sakura-ML (English/Japanese) with deepspeech2 model in pytorch with support from Zakuro AI.

Whispers2t ⭐ 44

An Optimized Speech-to-Text Pipeline for the Whisper Model Supporting Multiple Inference Enginer

Awesome Ai List Guide ⭐ 44

The guide of awesome list about AI

Speech_recognition_ctc ⭐ 35

Use ctc to do chinese speech recognition by keras / 通过keras和ctc实现中文语音识别

Deep_disfluency ⭐ 32

Deep Learning systems for training and testing disfluency detection and related tasks on speech data.

Attacking Speaker Recognition with Deep Generative Models

End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM

Pytorch_mlp_for_asr ⭐ 27

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

Ai Engine ⭐ 25

Easy to use Multi-Provider ASR/Speech To Text and NLP engine

Automatic Speech Recognition For Speech Assessment Of Persian Preschool Children ⭐ 18

Preschool evaluation is crucial because it gives teachers and parents influential knowledge about children's growth and development. The COVID-19 pandemic has highlighted the necessity of online assessment for preschool children. One of the areas that should be tested is their ability to speak. Employing an Automatic Speech Recognition (ASR) system would not help since they are pre-trained on voices that differ from children's in terms of frequency and amplitude. Because most of these are pre-tr

Gujarati_speech_recognition ⭐ 12

Offline speech recognition for Gujarati Language.

Framework for Deep Speech Recognition

13.3 Hours Chinese Mandarin Synthesis Corpus Female Emotional ⭐ 11

Chinese Mandarin Synthesis Corpus-Female/Emotional

Automatic_speech_recognition_with_multi_models ⭐ 10

A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

Deepspeech Pytorch ⭐ 8

Pytorch implementation for DeepSpeech 2.0

Kaggle Ai ⭐ 8

Categorize AI problems and record through kaggle, Google's data science website

Dnn Speech Recognizer ⭐ 5

Built a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline.

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1-37 of 37 search results

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