Speech intelligibility (SI) measurement has attracted great attention in the speech
communication community over the last decade. It is a critical consideration for speech …

In recent years, substantial progress has been made in the field of reverberant speech
signal processing, including both single-and multichannel dereverberation techniques and …

Multichannel automatic speech recognition (ASR) systems commonly separate speech
enhancement, including localization, beamforming, and postfiltering, from acoustic …

In real-world situations, speech is masked by both background noise and reverberation,
which negatively affect perceptual quality and intelligibility. In this paper, we address …

Standard deep neural network-based acoustic models for automatic speech recognition
(ASR) rely on hand-engineered input features, typically log-mel filterbank magnitudes. In this …

CHiME-3 is a research community challenge organised in 2015 to evaluate speech
recognition systems for mobile multi-microphone devices used in noisy daily environments …

(57) ABSTRACT A speech recognition system for resolving impaired utter ances can have a
speech recognition engine configured to receive a plurality of representations of an …

This paper describes the technical and system building advances made to the Google Home
multichannel speech recognition system, which was launched in November 2016. Technical …

In daily listening environments, human speech is often degraded by room reverberation,
especially under highly reverberant conditions. Such degradation poses a challenge for …

We present a new beamformer front-end for Automatic Speech Recognition and apply it to
the 3rd-CHiME Speech Separation and Recognition Challenge. Without any further …