v0.1.0
calesthio/OpenMontagev0.1.0Aug 19, 2026by pskrunner14
AI Summary
The first versioned release of NeMo-Speech.cpp, introducing a comprehensive suite of speech processing capabilities including ASR, TTS, translation, and speaker diarization.
Key Highlights
- Speech recognition with Nemotron 3.5 ASR and Parakeet models.
- Speaker diarization using Streaming Sortformer v2.
- Speech synthesis with MagpieTTS and NanoCodec.
- Text and speech translation with Riva Translate 4B Instruct v2.
- Local HTTP API with OpenAI-compatible transcription and WebSocket support.
New Features
- Speech recognition with Nemotron 3.5 ASR, Nemotron Speech Streaming, Parakeet TDT, and Parakeet CTC.
- Speaker diarization with Streaming Sortformer v2.
- Speech synthesis with MagpieTTS and NanoCodec.
- Text and speech translation with Riva Translate 4B Instruct v2.
- Utilities including Subtitles, VAD, endpointing, punctuation, and capitalization.
- Unified nemo-speech CLI with managed model discovery, downloads, and caching.
- Local HTTP API with OpenAI-compatible transcription and realtime WebSocket transcription.
- Native C API, shared libraries, and exported CMake package.
- Multi-backend support for CPU, CUDA, Vulkan, and Metal.
Full Release Notes
`0.1.0` is the first versioned release of NeMo-Speech.cpp. ## Highlights - Speech recognition with Nemotron 3.5 ASR, Nemotron Speech Streaming, Parakeet TDT, and Parakeet CTC - Speaker diarization with Streaming Sortformer v2, standalone or integrated with ASR - Speech synthesis with MagpieTTS and NanoCodec - Text and speech translation with Riva Translate 4B Instruct v2 - Subtitles, VAD, endpointing, punctuation, capitalization, and structured output - Unified nemo-speech CLI with managed model discovery, downloads, and caching - Local HTTP API with OpenAI-compatible transcription and speech subsets, realtime WebSocket transcription, and playground - Native C API, shared libraries, and exported CMake package for application integration - CPU, CUDA, Vulkan, and Metal backend support Prebuilt archives cover Linux and Windows on x86-64 and ARM64, plus Apple Silicon macOS, using the platform-appropriate CPU, CUDA, Vulkan, or Metal backend. Note: this is an early release and API interfaces may evolve.