granite-speech-3.3-2b EU AI Act Compliance-Profil

Granite-speech-3.3-2b (revision 3.3.2)

Model Summary: Granite-speech-3.3-2b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST). Granite-speech-3.3-2b uses a two-pass design, unlike integrated models that combine speech and language into a single pass. Initial calls to granite-speech-3.3-2b will transcribe audio files into text. To process the transcribed text using the underlying Granite language model, users must make a second call as each step must be explicitly initiated.

The model was trained on a collection of public corpora comprising diverse datasets for ASR and AST as well as synthetic datasets tailored to support the speech translation task. Granite-speech-3.3-2b was trained by modality aligning granite-3.3-2b-instruct (https://huggingface.co/ibm-granite/granite-3.3-2b-instruct) to speech on publicly available open source corpora containing audio inputs and text targets. Compared to the initial release, revision 3.3.2

• supports multilingual speech inputs in English, French, German, Spanish and Portuguese,
• provides transcription accuracy improvements for English ASR by using a deeper acoustic encoder and additional training data.

Evaluations:

We evaluated granite-speech-3.3-2b revision 3.3.2 alongside granite-speech-3.3-8b (https://huggingface.co/ibm-granite/granite-speech-3.3-8b) and other speech-language models in the less than 8b parameter range as well as dedicated ASR and AST systems on standard benchmarks. The evaluation spanned multiple public benchmarks, with particular emphasis on English ASR tasks while also including multilingual ASR and AST for X-En and En-X translations. <br> <br> <br> ![image/pn

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