Daniel Willett

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Main area of research
Speech recognition

Daniel Willet’s research interest is in the area of speech recognition.

Selected articles

Channel mapping using bidirectional long Short-term memory for dereverberation In hands-free voice controlled devices

In this article, the reverberation problem for hands-free voice controlled devices is addressed by employing Bidirectional Long Short-Term Memory (BLSTM) recurrent neural networks. Such networks

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Investigation on cross- and multilingual mlp features under matched and mismatched acoustical conditions

In this paper, Multi Layer Perceptron (MLP) based multilingual bottleneckfeatures are investigated for acoustic modeling in three languages— German, French, and US English. We use

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Child automatic speech recognition for US English: child interaction with living-room-electronic-devices

Adult-targeted automatic speech recognition (ASR) has made significant advancements in recent years and can produce speech-to-text output with very low word-error-rate, for multiple languages, and

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