Previous Work: Robust Automatic Transcription of Speech

This DARPA-funded program seeks to significantly improve the accuracy of several speech processing tasks (speech activity detection, speaker identification, language identification, and keyword spotting) for degraded audio sources. As part of the SRI Speech Content Extraction from Noisy Information Channels (SCENIC) Team, we are working primarily on feature extraction (drawing on our experience with biologically motivated signal processing and machine learning) and speech activity detection (drawing on our experience with speech segmentation).

Funding provided by DARPA.