A field that has directly benefited from the recent advances in deep learning is automatic
speech recognition (ASR). Despite the great achievements of the past decades, however, a …

This paper describes a dataset and protocols for evaluating continuous speech separation
algorithms. Most prior speech separation studies use pre-segmented audio signals, which …

The machine recognition of speech spoken at a distance from the microphones, known as
far-field automatic speech recognition (ASR), has received a significant increase in attention …

The performance of many microphone array processing techniques deteriorates in the
presence of reverberation. To provide a widely applicable solution to this longstanding …

Speech recognition technology has left the research laboratory and is increasingly coming
into practical use, enabling a wide spectrum of innovative and exciting voice-driven …

Disclosed is an application interface that takes into account the user's gaze direction relative
to who is speaking in an interactive multi-participant environment where audio-based …

This paper describes a system that generates speaker-annotated transcripts of meetings by
using a microphone array and a 360-degree camera. The hallmark of the system is its ability …

Disclosed are an apparatus and a method for detecting a speech endpoint using a WFST.
The apparatus in accordance with an embodiment of the present invention includes: a …

This paper considers acoustic beamforming for noise robust automatic speech recognition.
A beamformer attenuates background noise by enhancing sound components coming from …

The goal of this work is to develop a meeting transcription system that can recognize speech
even when utterances of different speakers are overlapped. While speech overlaps have …