Descriptions:
Fahd Mirza walks through a full local installation and live test of IBM’s Granite 4 1B Speech model, the newest addition to IBM’s Granite model family. The 1-billion-parameter model supports automatic speech recognition and translation across six languages — English, French, German, Spanish, Portuguese, and Japanese — and IBM claims it outperforms models two to eight times its size, including Whisper Large and Gemini Flash 54, across multiple ASR benchmarks.
Mirza runs the setup on Ubuntu with an Nvidia RTX 6000 (48GB VRAM), installing Transformers and SoundFile before deploying the model behind a simple Gradio interface. At runtime, the model consumes just 4.6GB of VRAM, making it viable on a broad range of hardware. The three-stage architecture includes a 16-layer conformer encoder processing raw audio in 4-second chunks via block attention, a window query transformer downsampling acoustic embeddings by a factor of 10, and the Granite LLM backbone producing the final text output. Training spanned roughly 82,000 hours of audio from public datasets including Common Voice.
Live transcription tests across all six supported languages show fast streaming output with accurate results. Mirza highlights particular benchmark strength in Portuguese, Spanish, and Japanese — the Japanese performance is notable given it included synthetic training data — and invites native speakers in the comments to evaluate translation quality.
📺 Source: Fahd Mirza · Published March 17, 2026
🏷️ Format: Hands On Build
