---
license: other
license_name: funasr-model-license-1.1
license_link: https://github.com/modelscope/FunASR/blob/main/MODEL_LICENSE
library_name: coremltools
pipeline_tag: automatic-speech-recognition
base_model: FunAudioLLM/SenseVoiceSmall
language:
  - zh
  - en
  - yue
  - ja
  - ko
tags:
  - coreml
  - apple-silicon
  - automatic-speech-recognition
  - speech-understanding
  - emotion-recognition
  - audio-event-detection
  - multilingual
  - macos
---

# SenseVoiceSmall — Core ML for Apple Silicon

A ready-to-use Core ML conversion of [FunAudioLLM/SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall) for fast, private speech recognition and rich audio understanding on Apple Silicon.

SenseVoiceSmall performs transcription, spoken-language identification, speech-emotion recognition, and audio-event detection in one non-autoregressive model. It is integrated into [Hugging Mac](https://github.com/devilyouwei/hugging-mac) for building local macOS voice apps, services, plugins, and agents.

## Capabilities

- Speech recognition for Chinese, English, Cantonese, Japanese, and Korean
- Automatic spoken-language identification
- Emotion recognition: happy, sad, angry, neutral, fearful, disgusted, and surprised
- Audio-event detection including music, applause, laughter, crying, coughing, sneezing, breathing, singing, and speech noise
- Optional inverse text normalization
- Short-form audio up to 30 seconds at 16 kHz

## Core ML model

The bundle contains one multifunction ML Program with three fixed feature buckets. Hugging Mac automatically selects the smallest suitable function.

| Function | `features` input | Other inputs | `logits` output |
|---|---|---|---|
| `encoder_100` | `1 × 100 × 560` FP32 | `lengths`, `language_id`, `style_id`: `1` INT32 | `1 × 104 × 25055` FP16 |
| `encoder_250` | `1 × 250 × 560` FP32 | `lengths`, `language_id`, `style_id`: `1` INT32 | `1 × 254 × 25055` FP16 |
| `encoder_500` | `1 × 500 × 560` FP32 | `lengths`, `language_id`, `style_id`: `1` INT32 | `1 × 504 × 25055` FP16 |

- Architecture: non-autoregressive SANM encoder with CTC output
- Weight optimization: INT8 linear quantization
- Compute precision: FP16
- Minimum deployment target: macOS 15
- Package size: 238.7 MB
- Default function: `encoder_500`

The inputs are 560-dimensional acoustic features generated with the included `am.mvn` normalization statistics. Raw logits require CTC collapse, SentencePiece decoding, and parsing of rich language, emotion, and event tokens. The tokenizer is downloaded from the pinned upstream repository by Hugging Mac.

## Use with Hugging Mac

```bash
git clone https://github.com/devilyouwei/hugging-mac.git
cd hugging-mac
uv sync --all-packages
uv run hugging-mac-web
```

Open the Models page, install **SenseVoiceSmall Core ML**, and use it through Live Transcription or the `SpeechTranscription` and `SpeechUnderstanding` capabilities.

For feature extraction, Core ML invocation, CTC decoding, and structured rich-transcript parsing, see the [Hugging Mac SenseVoice SDK](https://github.com/devilyouwei/hugging-mac/tree/main/packages/hugging_mac_sdk/src/hugging_mac_sdk/models/sensevoice).

## Provenance and integrity

- Upstream model: [FunAudioLLM/SenseVoiceSmall](https://huggingface.co/FunAudioLLM/SenseVoiceSmall)
- Upstream revision: `3847d57b6bdf2dd8875cb1508d2af43d80a16bf7`
- Conversion format: `sensevoice-small-coreml`
- Conversion metadata: included in `sensevoice-small-coreml/conversion.json`
- Directory SHA-256: `6ec1ee9247f7c717a285d809967bd64e210dbba4418e872c01a7a60bdedbb983`

## License

The converted model retains the **FunASR Model Open Source License Agreement 1.1** and its attribution and usage conditions. Review the linked license before redistribution or commercial use. Hugging Mac is an independent open-source project and is not affiliated with or endorsed by FunAudioLLM, FunASR, or ModelScope.