Results 101 to 110 of about 192 (149)
Some of the next articles are maybe not open access.
Dual microphone speech dereverberation
2007 9th International Symposium on Signal Processing and Its Applications, 2007This paper addresses the problem of intelligibility and quality improvement for the speech corrupted due to reverberation. Several speech de-reverberation algorithms (both single- and two-channel methods) are studied and compared. Based on this study, we propose some hybrid methods to improve both intelligibility and quality of reverberated speech. The
Hamid Reza Abutalebi, Farhad Faghani
openaire +1 more source
Bayesian learning for speech dereverberation
2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016This study presents a Bayesian approach to enhance the magnitude spectra of single-channel reverberant speech signals. Speech dereverberation model is constructed by using a nonnegative convolutive transfer function (NCTF) and a nonnegative matrix factorization (NMF).
Jen-Tzung Chien, You-Cheng Chang
openaire +1 more source
Statistical models for speech dereverberation
2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009This paper discusses a statistical-model-based approach to speech dereverberation. With this approach, we first define parametric statistical models of probability density functions (pdfs) for a clean speech signal and a room transmission channel, then estimate the model parameters, and finally recover the clean speech signal by using the pdfs with the
Takuya Yoshioka +3 more
openaire +1 more source
Speech Dereverberation Using Variational Autoencoders
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021This paper presents a statistical method for single-channel speech dereverberation using a variational autoencoder (VAE) for modelling the speech spectra. One popular approach for modelling speech spectra is to use non-negative matrix factorization (NMF) where learned clean speech spectral bases are used as a linear generative model for speech spectra.
Deepak Baby, Hervé Bourlard
openaire +1 more source
Amplitude Consistent Enhancement for Speech Dereverberation
Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence, 2020The mapping and masking methods based on deep learning are both essential methods for speech dereverberation at present, which typically enhance the amplitude of the reverberant speech while letting the reverberant phase unprocessed. The reverberant phase and enhanced amplitude are used to synthesize the target speech.
Chunlei Liu 0005 +2 more
openaire +1 more source
Cepstrum based deconvolution for speech dereverberation
Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, 2002We propose an algorithm for the restoration of speech that has been degraded through addition of multiple echoes. The proposed scheme processes the outputs of two microphones using cepstra operations and the theory of signal reconstruction from phase only.
Athina P. Petropulu, Suresh Subramaniam
openaire +1 more source
Towards Speech Recognition Oriented Dereverberation
Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., 2006We show the effect of reverberation on the speech recognition performance in a far-field microphone. Given the reference of a close-talk microphone signal, an improvement is shown using an asymmetric non-causal inverse filter both in a synthetic and real room environment.
Pamornpol Jinachitra, Ramon Prieto
openaire +1 more source
Group sparsity for mimo speech dereverberation
2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015Reverberation can severely affect the speech signals recorded in a room, possibly leading to a significantly reduced speech quality and intelligibility. In this paper we present a batch algorithm employing a signal model based on multi-channel linear prediction in the short-time Fourier transform domain. Aiming to achieve multiple-input multiple-output
Ante Jukic +3 more
openaire +1 more source
Calculating Inverse Filters for Speech Dereverberation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2008Speech dereverberation is one of the most difficult tasks in acoustic signal processing. Of the various problems involved in this task, this paper highlights “over-whitening,” which flattens the characteristics of recovered speech. This distortion sometimes happens when inverse filters are directly calculated from microphone signals. This paper reviews
Masato Miyoshi +2 more
openaire +1 more source