Results 31 to 40 of about 1,864,117 (195)

Att-TasNet: Attending to Encodings in Time-Domain Audio Speech Separation of Noisy, Reverberant Speech Mixtures

Frontiers in Signal Processing, 2022
Separation of speech mixtures in noisy and reverberant environments remains a challenging task for state-of-the-art speech separation systems. Time-domain audio speech separation networks (TasNets) are among the most commonly used network architectures ...
William Ravenscroft, Stefan Goetze, Thomas Hain   +2 more
doaj   +1 more source

Speech enhancement via combination of Wiener filter and blind source separation [PDF]

, 2011
Automatic speech recognition (ASR) often fails in acoustically noisy environments. Aimed to improve speech recognition scores of an ASR in a real-life like acoustical environment, a speech pre-processing system is proposed in this paper, which consists ...
Bleeck, S., Wang, S., Hu, H., Azarpour, M., Taghia, Jalil,, Sang, J., Lutman, M. E., Mohammadiha, Nasser,, Dokku, R., Rajyalakshmi Dokku, Nasser Mohammadiha, Hongmei Hu, Stefan Bleeck, Mark E. Lutman, Shouyan Wang, Jalal Taghia, Masoumeh Azarpour, Jalil Taghia, Jinqiu Sang, Hu, Hongmei, Azapour, M., Lutman, M.E., Tagia, J., Mohammadia, N., Sang, Jinqiu   +24 more
core   +1 more source

Integrating Dilated Convolution into DenseLSTM for Audio Source Separation

Applied Sciences, 2021
Herein, we proposed a multi-scale multi-band dilated time-frequency densely connected convolutional network (DenseNet) with long short-term memory (LSTM) for audio source separation.
Woon-Haeng Heo, Hyemi Kim, Oh-Wook Kwon
doaj   +1 more source

Glottal Spectral Separation for Speech Synthesis [PDF]

, 2014
This paper proposes an analysis method to separate the glottal source and vocal tract components of speech that is called Glottal Spectral Separation (GSS). This method can produce high-quality synthetic speech using an acoustic glottal source model.
Renals, Steve, Yamagishi, Junichi, Richmond, Korin; id_orcid, Cabral, João P   +3 more
core   +1 more source

Deep learning microphone array speech enhancement for multiple speaker separation

Dianzi Jishu Yingyong, 2022
With the increase of human-computer voice interaction scenes in recent years, using microphone array speech enhancement to improve speech quality has become one of the research hotspots.
Zhang Jiayang, Tong Feng, Chen Dongsheng, Huang Huixiang   +3 more
doaj   +1 more source

Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming

IEEE Access, 2023
This paper presents a novel Blind Source Separation method that can handle convolutive mixtures that may be underdetermined. Our method combines TF masking and beamforming and exploits the source signals sparsity in the Time-Frequency (TF) domain ...
Mostafa Bella, Hicham Saylani, Shahram Hosseini, Yannick Deville   +3 more
doaj   +1 more source

Speech Separation Using Convolutional Neural Network and Attention Mechanism

Discrete Dynamics in Nature and Society, 2020
Speech information is the most important means of human communication, and it is crucial to separate the target voice from the mixed sound signals.
Chun-Miao Yuan, Xue-Mei Sun, Hu Zhao
doaj   +1 more source

Probabilistic Modeling Paradigms for Audio Source Separation [PDF]

, 2010
This is the author's final version of the article, first published as E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, M. E. Davies. Probabilistic Modeling Paradigms for Audio Source Separation. In W.
Davies, ME, Maria G. Jafari, Plumbley, MD, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley, Vincent, Emmanuel, Mike E. Davies, Plumbley, Mark, D., Vincent, E, Jafari, MG, Davies, Mike, E., Jafari, Maria, G., Abdallah, Samer, A., Abdallah, SA, Plumbley, Mark,, Davies, Mike,, Jafari, Maria,, Abdallah, Samer,   +18 more
core   +1 more source

Analysis of speech prosody using WaveNet embeddings : The Lombard effect [PDF]

, 2020
We present a novel methodology for speech prosody research based on the analysis of embeddings used to condition a convolutional WaveNet speech synthesis system.
Juraj Šimko, Vainio, Martti, Suni, Antti, Šimko, Juraj, Martti Vainio, Antti Suni   +5 more
core   +1 more source

Fast Noise Compensation and Adaptive Enhancement for Speech Separation

EURASIP Journal on Audio, Speech, and Music Processing, 2008
We propose a novel approach to improve adaptive decorrelation filtering- (ADF-) based speech source separation in diffuse noise. The effects of noise on system adaptation and separation outputs are handled separately. First, fast noise compensation (NC)
Hu Rong, Zhao Yunxin
doaj   +2 more sources