Audio & Speech

Instant voice cloning with precise style control — tone, emotion, accent, and rhythm from a single short reference clip.

CTranslate2-powered reimplementation of Whisper with up to 4× faster inference and lower memory usage.

Lightweight neural voice activity detector that distinguishes speech from silence/noise in real time.

Whisper with fast forced alignment, accurate word-level timestamps, and multi-speaker diarization.

Resemble AI's state-of-the-art open-source TTS model with voice cloning, emotion exaggeration, and zero-shot speaker adaptation.

Battle-tested deep learning TTS toolkit with XTTS, VITS, and 1000+ pretrained voices across 20+ languages.

82M-parameter Apache-2.0 text-to-speech model with high naturalness and multiple voice styles.

OpenAI's open-source speech recognition model — accurate multilingual transcription and translation in one model.

NVIDIA's modular framework for training, fine-tuning, and deploying speech recognition, TTS, and large language models at scale.

Suno's transformer-based text-to-audio model that generates realistic speech, music, and sound effects from text.

Meta AI's music source separation model that splits any song into vocals, drums, bass, and other stems.

Python library for audio and music analysis: spectrograms, MFCCs, beat tracking, pitch detection, and feature extraction.

Speaker diarisation and voice activity detection toolkit — who spoke when in any audio recording.

All-in-one conversational AI toolkit for ASR, speaker recognition, speech enhancement, and language identification.

Meta's state-of-the-art neural audio codec achieving CD-quality compression at 1.5 kbps — the backbone of MusicGen and AudioCraft.

End-to-end speech processing toolkit covering ASR, TTS, speech translation, enhancement, and speaker diarisation.