NOVA-VAD, a lightweight and explainable Voice Activity Detector, achieves 93% accuracy on noisy audio from the UrbanSound8K dataset, outperforming WebRTC (58%), Pyannote (62%), and Silero (87%). It uses only scikit-learn, requires no GPU, and provides feature importance and confidence scores in plain English.
NOVA-VAD beats Silero, Pyannote, and WebRTC on noisy audio with 93% accuracy
NVIDIA releases NemotronLabs-VoiceChat-11B model on Hugging Face
NVIDIA has made the NemotronLabs-VoiceChat-11B voice chat model available on Hugging Face. The repository is described as supporting full duplex communication capabilities.
Freya-TTS releases tokenizer-free Turkish TTS model with 8.0% WER
Researchers introduce Freya-TTS, a compact, tokenizer-free text-to-speech model optimized for Turkish that achieves an 8.0% word error rate on the Freya-TR-Eval benchmark. The 183.2M-parameter non-autoregressive conditional flow-matching Diffusion Transformer operates in the frozen continuous latent space of AudioVAE2, enabling high-quality 48 kHz reconstruction without a phonemizer or discrete speech tokenizer.
OpenMOSS releases MOSS-Transcribe-Diarize 0.9B for joint transcription and diarization
OpenMOSS has released MOSS-Transcribe-Diarize, a 0.9B parameter end-to-end audio understanding model designed for long-form multi-speaker transcription, diarization, timestamps, and acoustic event awareness.
Gepard 1.0 open-sources a streaming TTS model for real-time dialogue
Researchers have open-sourced Gepard 1.0, a streaming-first text-to-speech model designed for real-time conversation that generates audio frame by frame as text arrives. The model is built on a Qwen3.5 0.8B backbone with Nemo NanoCodec and supports zero-shot voice cloning across English, Spanish, Portuguese, and Dutch.
Nvidia releases Nemotron-Labs-Audex-30B-A3B unified audio-text LLM
Nvidia has released Nemotron-Labs-Audex-30B-A3B, a unified audio-text large language model built on the Nemotron-Cascade-2-30B-A3B text-only MoE backbone. The model extends the original architecture with an audio encoder for inputs and discrete audio tokens for outputs, enabling capabilities in speech recognition, translation, text-to-speech, and audio generation.