Model Summary: Granite-4.0-1b-speech is a compact and efficient speech-language model, specifically designed for multilingual automatic speech recognition (ASR) and bidirectional automatic speech translation (AST).

The model was trained on a collection of public corpora comprising of diverse datasets for ASR and AST as well as synthetic datasets tailored to support Japanese ASR, keyword-biased ASR and speech translation. Granite-4.0-1b-speech was trained by modality aligning granite-4.0-1b-base to speech on publicly available open source corpora containing audio inputs and text targets. Compared to granite-speech-3.3-2b and granite-speech-3.3-8b, this model has the following additional capabilities and improvements:

• Supports multilingual speech inputs in English, French, German, Spanish, Portuguese and Japanese,
• Provides higher transcription accuracy for English ASR and faster inference through better encoder training and speculative decoding,
• Has half the number of parameters of granite-speech-3.3-2b for running on resource-constrained devices,
• Adds keyword list biasing capability for enhanced name and acronym recognition