Speech Communication - Special issue on speech processing in adverse conditions
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Power level difference as a criterion for speech enhancement
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Babble noise: modeling, analysis, and applications
IEEE Transactions on Audio, Speech, and Language Processing
Impact of SNR and gain-function over- and under-estimation on speech intelligibility
Speech Communication
GSVD-based optimal filtering for single and multimicrophone speech enhancement
IEEE Transactions on Signal Processing
Constrained iterative speech enhancement with application to speechrecognition
IEEE Transactions on Signal Processing
Mask estimation for missing data speech recognition based on statistics of binaural interaction
IEEE Transactions on Audio, Speech, and Language Processing
Evaluation of Objective Quality Measures for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
Phase-based dual-microphone robust speech enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Dual-Microphone Speech Enhancement Algorithm Based on the Coherence Function
IEEE Transactions on Audio, Speech, and Language Processing
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In this study, we present a novel coherence-based noise reduction technique and show how it can be employed in binaural hearing aid instruments in order to suppress any potential noise present inside a realistic low reverberant environment. The technique is based on particular assumptions on the spatial properties of the target and undesired interfering signals and suppresses (coherent) interferences without prior statistical knowledge of the noise environment. The proposed algorithm is simple, easy to implement and has the advantage of high performance in coping with adverse signal conditions such as scenarios in which competing talkers are present. The technique was assessed by measurements with normal-hearing subjects and the processed outputs in each ear showed significant improvements in terms of speech intelligibility (measured by an adaptive speech reception threshold (SRT) sentence test) over the unprocessed signals (baseline). In a mildly reverberant room with T"6"0=200, the average improvement in SRT obtained relative to the baseline was approximately 6.5dB. In addition, the proposed algorithm was found to yield higher intelligibility and quality than those obtained by a well-established interaural time difference (ITD)-based speech enhancement algorithm. These attractive features make the proposed method a potential candidate for future use in commercial hearing aid and cochlear implant devices.