NeuTTS Air is the world's first ultra-realistic, device-side text-to-speech (TTS) language model with instant voice cloning capabilities. Built on a 0.5B large language model backbone network, it can bring natural voice, real-time performance, built-in security features, and speaker cloning capabilities to local devices.

Audio ProcessingSafetensors

AASIST3 is an enhanced version based on the AASIST architecture, specifically designed for voice deep forgery detection. This model integrates Kolmogorov - Arnold Networks (KAN), combines self - supervised learning features and additional regularization techniques, which can effectively improve the performance and robustness of voice deep forgery detection.

Audio ProcessingSafetensorsEnglish

A voice quality classification model based on Whisper Large v3, used to analyze features such as pitch, timbre, volume, clarity, and rhythm of speech.

Audio ProcessingSafetensorsEnglish

A 2.2 billion parameter text-to-speech model trained on 45,000 hours of audio data, supporting voice feature control via text prompts

Audio ProcessingTransformersEnglish

Parler-TTS Mini is a lightweight text-to-speech model trained on 10.5K hours of audio data, supporting voice feature control through text prompts.

Audio ProcessingTransformersEnglish