Hugging Face Unveils Fast, Accurate Speech Recognition Pipeline with Speaker Diarization

Hugging Face has launched a new inference endpoint combining automatic speech recognition (ASR), speaker diarization, and speculative decoding for real-time transcription. The pipeline leverages Whisper for ASR, pyannote for diarization, and a custom speculative decoding technique to speed up inference by up to 3x without losing accuracy. This integration allows developers to deploy multilingual, speaker-aware transcription with low latency, making it ideal for meeting transcription, call analysis, and media captioning. The endpoints are available now on Hugging Face's inference infrastructure.