Improving Speech Intelligibility in Noisy Environments by Near End Listening Enhancement

Konferenz: Sprachkommunikation 2006 - ITG-Fachtagung
26.04.2006 - 28.04.2006 in Kiel, Germany

Tagungsband: Sprachkommunikation 2006

Seiten: 4Sprache: EnglischTyp: PDF

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Sauert, Bastian; Vary, Peter (Institute of Communication Systems and Data Processing, RWTH Aachen University, Germany)

In contrast to common noise reduction systems, this contribution presents a digital signal processing algorithm to improve intelligibility of clean far end speech for the near end listener who is located in an environment with background noise. Since the noise reaches the ears of the near end listener directly and therefore can hardly be influenced, a sensible option is to manipulate the far end speech. The proposed algorithm raises the average speech spectrum over the average noise spectrum and takes precautions to prevent hearing damage. Informal listening tests and the Speech Intelligibility Index indicate an improved speech intelligibility.