384 Open source projects that are alternatives of or similar to multilingual_kws

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

This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).

On-device wake word detection powered by deep learning.

A library for real-time voice processing in web browsers

Won't it be cool to build a speech assistant like Alexa or Siri yourself without voice API and network connection?

SDK & Sample to do speech recognition using websockets in Javascript

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

The CIDLib general purpose C++ development environment

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.

Kaldi-based Korean ASR (한국어 음성인식) open-source project

🎤 Cordova Plugin for Speech Recognition

Lingvo

🎙️ Handsfree Audio Development Interface

Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).

A Polymer 3+ webcomponent / button for doing speech recognition

VOSK Speech Recognition Toolkit

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

End-to-End Automatic Speech Recognition on PyTorch

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

The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications!

Chinese text normalization for speech processing

Speech Recognition Using Tacotron

A pure python module for reading and writing kaldi ark files

LibFewShot: A Comprehensive Library for Few-shot Learning.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

End-to-end speech recognition using RNN Transducers in Tensorflow 2.0

A small Javascript library for browser-based real-time speech recognition, which uses Recorderjs for audio capture, and a WebSocket connection to the Kaldi GStreamer server for speech recognition.

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Awesome Few-shot learning

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

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

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

Offline transcription system for Estonian using Kaldi

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

Automatic Speech Recognition (ASR) - German

Voice control for your websites and applications

A testing server for a speech to text service based on mozilla deepspeech

📦 快速转化「中文数字」和「阿拉伯数字」～ (最新特性：分数，日期、温度等转化）

Kaldi model converter to ONNX

"Caption This" is an iOS app that adds real-time captions to videos for Instagram Stories

GStreamer plugin around Kaldi's online neural network decoder

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.

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.

Covering grammars for English and Russian text normalization

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

NeMo: a toolkit for conversational AI

INTERSPEECH 2019 Tutorial Materials

Practice your speech level in any language using speech recognition

Some simple wrappers around kaldi-asr intended to make using kaldi's (online) decoders as convenient as possible.

Speech recognition framework allowing powerful Python-based scripting and extension of Dragon NaturallySpeaking (DNS), Windows Speech Recognition (WSR), Kaldi and CMU Pocket Sphinx

ClovaCall dataset and Pytorch LAS baseline code (Interspeech 2020)

Проект для распознавания речи на русском языке на основе pykaldi.

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

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

A speech recognition framework designed for SwiftUI.

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

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