v0.1.0
m-bain/whisperXv0.1.0Aug 19, 2026by pskrunner14
Upgrading?
AI Summary
This is the first versioned release of NeMo-Speech.cpp, introducing a comprehensive toolkit for speech processing including ASR, speaker diarization, and speech synthesis with support for multiple backends and APIs.
Key Highlights
- Supports multiple ASR models including Nemotron 3.5 and Parakeet TDT
- Includes speaker diarization and speech synthesis capabilities
- Provides OpenAI-compatible HTTP API and unified CLI
- Offers native C API integration and cross-platform backend 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 VAD, endpointing, punctuation, and capitalization
- Unified nemo-speech CLI with managed model discovery
- Local HTTP API with OpenAI-compatible transcription and WebSocket support
- Native C API and CMake package for application integration
- CPU, CUDA, Vulkan, and Metal backend support
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.
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