7 research outputs found
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Model-Based Separation in Humans and Machines
Comparing human performance on source separation with different automatic approaches, and arguing for (a) using models, and (b) concentrating on the content, not the signal per se
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Speech Separation in Humans and Machines
An overview of the problem of separating speech in acoustic mixtures, including some perceptual results, brief introductions to ICA and CASA, and a pitch for model-based analysis
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Auditory Scene Analysis in Humans and Machines
Tutorial on auditory scene analysis and source separation in humans and machines
Implementation and evaluation of a low complexity microphone array for speaker recognition
Includes bibliographical references (leaves 83-86).This thesis discusses the application of a microphone array employing a noise canceling beamforming technique for improving the robustness of speaker recognition systems in a diffuse noise field
Digital Microphone Array - Design, Implementation and Speech Recognition Experiments
The instrumented meeting room of the future will help meetings to be more efficient and
productive. One of the basic components of the instrumented meeting room is the speech
recording device, in most cases a microphone array. The two basic requirements for this
microphone array are portability and cost-efficiency, neither of which are provided by current commercially available arrays. This will change in the near future thanks to the availability of new digital MEMS microphones. This dissertation reports on the first successful implementation of a digital MEMS microphone array. This digital MEMS microphone array was designed, implemented, tested and evaluated and successfully compared with an existing
analogue microphone array using a state-of-the-art ASR system and adaptation algorithms. The newly built digital MEMS microphone array compares well with the analogue microphone array on the basis of the word error rate achieved in an automated speech recognition system and is highly portable and economical