v0.1.0
feyninc/pulpiev0.1.0Aug 19, 2026by pskrunner14
AI Summary
v0.1.0 marks the initial release of NeMo-Speech.cpp, providing a unified toolkit for speech recognition, synthesis, and translation. It features support for multiple AI models and backends across various platforms.
Key Highlights
- Support for multiple speech recognition models including Nemotron 3.5 ASR, Parakeet TDT, and Parakeet CTC.
- Comprehensive speech processing pipeline featuring synthesis (MagpieTTS), translation (Riva Translate), and speaker diarization.
- Cross-platform backend support for CPU, CUDA, Vulkan, and Metal on Linux, Windows, and macOS.
- Developer integration options including a native C API, OpenAI-compatible HTTP server, and unified CLI tools.
New Features
- Nemotron 3.5 ASR and Nemotron Speech Streaming
- Parakeet TDT and Parakeet CTC
- Streaming Sortformer v2 for speaker diarization
- MagpieTTS and NanoCodec for speech synthesis
- Riva Translate 4B Instruct v2 for translation
- VAD, endpointing, punctuation, and capitalization
- Unified nemo-speech CLI with model discovery and caching
- Local HTTP API with OpenAI-compatible transcription
- Realtime WebSocket transcription
- Native C API and CMake package 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.