Browsing by Author "Wolf, Martin"
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Channel selection and reverberation-robust automatic speech recognition
Wolf, Martin (Universitat Politècnica de Catalunya, 2013-11-11)
Doctoral thesis
Open AccessIf speech is acquired by a close-talking microphone in a controlled and noise-free environment, current state-of-the-art recognition systems often show an acceptable error rate. The use of close-talking microphones, however, ... -
Channel selection measures for multi-microphone speech recognition
Nadeu Camprubí, Climent; Wolf, Martin (2014-02-01)
Article
Restricted access - publisher's policyAutomatic speech recognition in a room with distant microphones is strongly affected by noise and reverberation. In scenarios where the speech signal is captured by several arbitrarily located microphones the degree of ... -
Channel selection using N-best hypothesis for multi-microphone ASR
Wolf, Martin; Nadeu Camprubí, Climent (2013)
Conference report
Restricted access - publisher's policyIf speech is captured by several arbitrarily-located microphones in a room, the degree of distortion by noise and reverberation may vary strongly from one channel to another. Channel selection for automatic speech recognition ... -
Extension of the remos concept to frequency-filtering-based features for reverberation-robust speech recognition
Maas, Roland; Wolf, Martin; Sehr, Armin; Nadeu Camprubí, Climent; Kellermann, Walter (2011)
Conference report
Restricted access - publisher's policyThe introduction of partly decorrelated features into the REMOS (REverberationMOdeling for Speech recognition) concept for distant-talking speech recognition [1] is discussed. REMOS combines a hidden Markov model (HMM), ... -
Model-based processing for acoustic scene analysis
Nadeu Camprubí, Climent; Chakraborty, Rupayan; Wolf, Martin (Institute of Electrical and Electronics Engineers (IEEE), 2014)
Conference report
Restricted access - publisher's policyThe analysis of acoustic scenes requires several functionalities, being perhaps recognition (speech, speaker, other acoustic events) and spatial localization the two most relevant ones. For a reduced invasiveness, ... -
On the potential of channel selection for recognition of reverberated speech with multiple microphones
Wolf, Martin; Nadeu Camprubí, Climent (2010)
Conference report
Open AccessThe performance of ASR systems in a room environment with distant microphones is strongly affected by reverberation. As the degree of signal distortion varies among acoustic channels (i.e. microphones), the recognition ...