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Hendrik Kayser

2 accepted papers

2017

Multi-channel signal enhancement with speech and noise covariance estimates computed by a probabilistic localization model

ICASSP 2017accepted

Classic approaches to multi-channel signal enhancement rely on model assumptions regarding speech source relative transfer functions and noise covariance matrix, or on estimates thereof obtained in, e.g., speech pauses. To alleviate these constraints, we here investigate an approach to adaptive esti…

Cited by 0SourceScholar
2017

Predicting error rates for unknown data in automatic speech recognition

ICASSP 2017accepted

In this paper we investigate methods to predict word error rates in automatic speech recognition in the presence of unknown noise types, which have not been seen during training. The performance measures operate on phoneme posteriorgrams that are obtained from neural nets. We compare average frame-w…

Cited by 0SourceScholar