WeNet

WeNet is an open source speech recognition toolkit providing full stack production solutions.

WeNet is a production first and production ready end-to-end speech recognition toolkit. It offers full stack solutions for speech recognition, achieving state-of-the-art results on many public speech datasets. The toolkit is lightweight, easy to install, and well documented. It supports command-line usage and Python programming usage with models like paraformer, firered, wenetspeech, and whisper-large-v3. It is designed for developers and researchers building speech recognition applications and deploying them to production.

WeNet at a glance

Best for: Software engineer
Runs on: Linux, Python, CLI, open source
Pricing: Free
Released: November 2020
Category: AI audio tool
Website: github.com/wenet-e2e/wenet

Key features

End-to-end speech recognition
Command-line and Python APIs
Support for Paraformer and Whisper models
Training and deployment support
Language model integration via WFST
GPU and Ascend NPU compatibility

Use it for

Building speech recognition applications
Training custom speech models
Performing batch inference
Deploying speech models to production

Alternatives to WeNet

ESPnet — Provides reproducible recipes and hundreds of pretrained models for various speech tasks.
AssemblyAI — Industry-leading speech models deliver high accuracy and low latency for voice applications.
Vosk — It enables offline, low-latency speech recognition on small devices.
sherpa-onnx — Runs complex audio AI tasks offline on local devices and embedded hardware.
PaddleSpeech — It offers state-of-the-art models and streaming systems for speech tasks.
Speaches — It acts as an Ollama equivalent for running local TTS and STT models.
whisper.cpp — It provides high-performance, offline speech recognition on diverse hardware.
AuK — It handles zero-shot TTS, editing, and enhancement via natural language.
Speech-to-Speech — Fully modular, swappable components with local or hosted execution options.
RealtimeSTT — Provides fast local speech recognition with voice activity detection and wake words.
Whisper ASR Webservice — Provides a REST API for multiple ASR engines including WhisperX and Faster Whisper.
RealtimeTTS — Provides low-latency speech synthesis with a broad engine matrix and multiple backends.

All WeNet alternatives