Publications – Details
Recursive Closed-Form Optimization of Spectral Audio Power Allocation for Near End Listening Enhancement
- Authors:
- Bastian Sauert and Peter Vary
- Book Title:
- ITG-Fachtagung Sprachkommunikation
- Venue:
- Bochum, Germany
- Event Date:
- 6.-8.10.2010
- Publisher:
- VDE Verlag GmbH
- Location:
- Berlin, Germany
- Date:
- Oct. 2010
- ISBN:
- 978-3-80073-300-2
- ISSN:
- 0932-6022
- Language:
- English
Abstract
In mobile telephony, near end listening enhancement is desired by the near end listener who perceives not only the clean far end speech but also ambient background noise. A typical scenario is mobile telephony in acoustical background noise such as traffic or babble noise. In such a situation, it is often not acceptable/possible to increase the audio power.
In this contribution we analyse the calculation rules of the Speech Intelligibility Index (SII) and develop a recursive closedform solution which maximizes the SII under the constraint of an unchanged average power of the audio signal. This solution has very low complexity compared to a previous approach of the authors and is thus suitable for real-time processing.
Audio samples
These audio samples are 24bit PCM wav files at 48kHz sampling rate. They are 20s long and leveled such that full scale corresponds to 120dBspL.
Processing was performed at 8kHz sampling rate. The speech signal is added only to the right channel in order to simulate a telephone situation. The signal-to-noise ratio before processing is about -1.5dB.
|
Without processing |
5.5 M |
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sauert10a_maxtransfer_120db.wav Maximal power transfer algorithm as described in [sauert06b] |
5.5 M |
|
sauert10a_siioptimizednumerical_120db.wav Numerically SII optimized algorithm as described in [sauert10] |
5.5 M |
|
sauert10a_siioptimizedclosed_120db.wav Proposed closed-form SII optimized algorithm |
5.5 M |
|
Clean speech only |
2.7 M |
|
Noise only |
5.5 M |
Errata
None so far.
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