Speech Emotion Analyzer alternatives for AI agents.

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

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Faster Whisper transcription with CTranslate2

A PyTorch-based Speech Toolkit

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

End-to-End Speech Processing Toolkit

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

speech to text benchmark framework

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.

Facebook AI Research's Automatic Speech Recognition Toolkit

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

Tools for handling multimodal data in machine learning projects.

Port of OpenAI's Whisper model in C/C++

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)