Spatio-Temporal Speech Enhancement in Adverse Acoustic Conditions (2019)
Abstract / truncated to 115 words
Never before has speech been captured as often by electronic devices equipped with one or multiple microphones, serving a variety of applications. It is the key aspect in digital telephony, hearing devices, and voice-driven human-to-machine interaction. When speech is recorded, the microphones also capture a variety of further, undesired sound components due to adverse acoustic conditions. Interfering speech, background noise and reverberation, i.e. the persistence of sound in a room after excitation caused by a multitude of reflections on the room enclosure, are detrimental to the quality and intelligibility of target speech as well as the performance of automatic speech recognition. Hence, speech enhancement aiming at estimating the early target-speech component, which contains the direct ... toggle 15 keywordsspeech enhancement – dereverbertation – noise reduction – interfering speech cancellation – complexity reduction – data-dependent beamforming – multi-channel linear prediction – integrated sidelobe cancellation and linear prediction – early psd estimation – retf estimation – kalman filter – orthogonal procrustes problem – unitary constraint – singular value decomposition – generalized eigenvalue decomposition
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