6564 Open source projects that are alternatives of or similar to Silero Models

VOSK Speech Recognition Toolkit

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

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

End-to-End Automatic Speech Recognition on PyTorch

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.

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

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

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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.

speech to text benchmark framework

Detecting emotions using MFCC features of human speech using Deep Learning

High-quality Neural Networks for Computer Vision 😎

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.

An application that demostrate the usage of Syn.Speech library for Speech Recognition

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

Use Google Speech-to-Text API to do real-time live stream caption on Unity! Best when combined with your virtual character!

Node.js SDK for the Rev AI API

Rust re-implementation of OpenFST - library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs). A Python binding is also available.

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等

React app using the Watson Speech to Text service to transform voice audio into written text.

A proof-of-concept app using KeenASR SDK on Android. WE ARE HIRING: https://keenresearch.com/careers.html

Voice Controlled Chromium Web Browser

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

It recognize your speech and trained AI Bot will respond(i.e Customer Service, Personal Assistant) using Machine Learning API (DialogFlow, apiai), Speech Recognition, GraphQL, Next.js, React, redux

An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.

a simple speech recognition app using the Web Speech API Interfaces

The code enables users to use Mozilla's Deep Speech model over the Web Browser.

Speech Recognition Using Tacotron

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

Chinese speech recognition

Speech to text bot for Discord using Mozilla's DeepSpeech

Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

A MXNet implementation of Baidu's DeepSpeech architecture

A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.

HTK Toolkit with Linux 64 bit and Docker support

A PyTorch implementation of DeepSpeech and DeepSpeech2.

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

how to use the Google Cloud Speech API to transcribe audio/video files.

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

🧠 Leon is your open-source personal assistant.

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.

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Speech To Text in Android

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

Music advice from a conversational interface powered by Algolia

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

Offline speech recognition for Android with Vosk library.

Automatic Speech Recognition in Unity.

Phonetisaurus G2P

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

AFINN sentiment analysis in Python

Open tools and data for cloudless automatic speech recognition

Kim，你的私人语音助理。

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

BERT for Multitask Learning

End-to-end ASR/LM implementation with PyTorch