soniqo/Nemotron-Speech-Streaming-LiteRT

Nemotron Speech Streaming 0.6B — LiteRT

Cache-aware FastConformer + RNN-T for sub-second streaming ASR. 80 ms chunks, in-pod state.

Part of the **soniqo.audio** speech toolkit — an open, runtime-portable stack for speech AI. This bundle is the LiteRT export, designed to plug into the abstract interfaces in `speech-core` (C++ voice-agent orchestration library). Browse all LiteRT bundles in the **soniqo LiteRT collection**.

Use cases on soniqo.audio

• —Live transcription
• —Voice agents

Cache-aware streaming ASR exported to LiteRT for sub-second real-time transcription. Three split graphs — encoder, decoder, joint — wired in a per-session loop that holds the FastConformer KV cache and the RNN-T LSTM state across 80 ms chunks. The host owns the loop and the cache state; LiteRT owns the static tensor programs.

Files

Streaming contract

audio chunk (80 ms, 16 kHz)
    │
    ▼
mel fbank (80 bins) ──► encoder + cached K/V ──► encoded frame
                                                         │
                                                         ▼
                                               decoder (LSTM)
                                                         │
                                                         ▼
                                                  joint ──► BPE token

The C++ worker owns the cache and LSTM state across chunks; LiteRT owns the static tensor programs. Cache shapes are published in config.json so the worker can pre-allocate and reset state per session without inspecting the bundle.

Validation

End-to-end verified against a 12.56 s reference utterance:

• —First-partial latency 0.42 s
• —p50 chunk compute 79.9 ms on CCX23 CPU (RTF ≈ 1.0× per session)
• —Transcript matches the upstream PyTorch reference to within boundary-artifact noise (in fact the LiteRT path's 'The quick brown fox jumps over the lazy dog' came out cleaner than the Python validator on this utterance)

Source

Exported from nvidia/nemotron-speech-streaming-en-0.6b. On macOS the conversion runs as a two-stage pipeline (trace

• —LiteRT conversion in separate processes) because NeMo and litert_torch fight over native thread pools when they share one interpreter.

Ecosystem

• —**soniqo.audio** — use-case explorer (transcription, voice cloning, live ASR, voice agents).
• —**speech-core** — C++ orchestration library for voice agents. Abstract STTInterface / TTSInterface / VADInterface / EnhancerInterface; LiteRT implementations plug straight into the interfaces.
• —**speech-swift** — Apple Silicon MLX companion runtime (model-specific MLX bundles linked above where applicable).
• —**speech-android** — Android SDK consuming on-device LiteRT bundles.

Other LiteRT models in this collection

ASR / Transcription

• —Parakeet TDT 0.6B v3 — LiteRT (INT8)
• —Omnilingual ASR CTC 300M — LiteRT
• —Omnilingual ASR CTC 300M — LiteRT (INT8)
• —Qwen3 ASR 0.6B Encoder — LiteRT (INT8)

VAD / Diarization

• —Silero VAD v5 — LiteRT
• —Pyannote Segmentation 3.0 — LiteRT
• —WeSpeaker ResNet34-LM — LiteRT

TTS / Voice Cloning

• —VoxCPM2 — LiteRT (INT8)

License

This bundle inherits the upstream model license (cc-by-4.0). See the linked base_model repository for the full terms.