Papers by Martin Bouchard
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013
ABSTRACT In this paper, we review a blind musical-noise-free speech extraction method using a mic... more ABSTRACT In this paper, we review a blind musical-noise-free speech extraction method using a microphone array that can be applied to nonstationary noise. In our previous study, it was found that optimized iterative spectral subtraction (SS) results in speech enhancement with almost no musical noise generation, but this method is valid only for stationary noise. The proposed method consists of iterative blind dynamic noise estimation by, e.g., ICA or multichannel Wiener filtering, and musical-noise-free speech extraction by modified iterative SS, where multiple iterative SS is applied to each channel while maintaining the multichannel property reused for the dynamic noise estimators. Also, related to the proposed method, we discuss the justification of applying ICA to such signals nonlinearly distorted by SS. From objective and subjective evaluations simulating real-world hands-free speech communication system, we reveal that the proposed method outperforms the conventional methods.
Canadian Acoustics - Acoustique Canadienne
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
CANADIAN ACOUSTICS, 2004
An echo canceller removes undesired echo in fullduplex speech communication. The cancellation is ... more An echo canceller removes undesired echo in fullduplex speech communication. The cancellation is done by modeling the echo path impulse response with an adaptive finite impulse response filter and subtracting the echo estimate from the received signal. A ...
2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014
2013 IEEE Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013
IEEE International Conference on Acoustics Speech and Signal Processing, 2002
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004
2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012
Abstract The impact of auditory masking when obtaining sparse representations for audio signals i... more Abstract The impact of auditory masking when obtaining sparse representations for audio signals is investigated by integrating a masking model into a Locally Competitive Algorithm. The masking model considers both temporal and frequency domain masking effects. The performance of the new algorithm is verified against the original Locally Competitive Algorithm for different types of sound files. Results show that the new algorithm allows for larger residual error between an input signal and its reconstructed version while ...
2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012
Abstract A novel framework based on graph theory for structure discovery is applied to audio to f... more Abstract A novel framework based on graph theory for structure discovery is applied to audio to find new types of audio objects which enable the compression of an input signal. It converts the sparse time-frequency representation of an audio signal into a graph by representing each data point as a vertex and the relationship between two vertices as an edge. Each edge is labelled based on a clustering algorithm which preserves a quality guarantee on the clusters. Frequent subgraphs are then extracted from this graph, via a ...
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
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Papers by Martin Bouchard