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期刊名:Ieee-acm transactions on audio speech and language processing

缩写:IEEE-ACM T AUDIO SPE

ISSN:2329-9290

e-ISSN:2329-9304

IF/分区:5.1/Q1

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共收录本刊相关文章索引58
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
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Yixuan Zhang,Heming Wang,DeLiang Wang Yixuan Zhang
As a fundamental problem in speech processing, pitch tracking has been studied for decades. While strong performance has been achieved on clean speech, pitch tracking in noisy speech is still challenging. Severe non-stationary noises not on...
Nursadul Mamun,John H L Hansen Nursadul Mamun
The presence of background noise or competing talkers is one of the main communication challenges for cochlear implant (CI) users in speech understanding in naturalistic spaces. These external factors distort the time-frequency (T-F) conten...
Seong-Gyun Leem,Daniel Fulford,Jukka-Pekka Onnela et al. Seong-Gyun Leem et al.
A speech emotion recognition (SER) system deployed on a real-world application can encounter speech contaminated with unconstrained background noise. To deal with this issue, a speech enhancement (SE) module can be attached to the SER syste...
Arturo Morales,Juan I Yuz,Juan Pablo Cortés et al. Arturo Morales et al.
The use of non-invasive skin accelerometers placed over the extrathoracic trachea has been proposed in the literature for measuring vocal function. Glottal airflow is estimated using inverse filtering or Bayesian techniques based on a subgl...
Ria Ghosh,John H L Hansen Ria Ghosh
While speech understanding for cochlear implant (CI) users in quiet is relatively effective, listeners experience difficulty in identification of speaker and sound location. To assist for better residual hearing abilities and speech intelli...
Jianwei Zhang,Julie Liss,Suren Jayasuriya et al. Jianwei Zhang et al.
Approximately 1.2% of the world's population has impaired voice production. As a result, automatic dysphonic voice detection has attracted considerable academic and clinical interest. However, existing methods for automated voice assessment...
Ashutosh Pandey,DeLiang Wang Ashutosh Pandey
Dealing with speech interference in a speech enhancement system requires either speaker separation or target speaker extraction. Speaker separation has multiple output streams with arbitrary assignments while target speaker extraction requi...
Hao Zhang,Ashutosh Pandey,DeLiang Wang Hao Zhang
Processing latency is a critical issue for active noise control (ANC) due to the causality constraint of ANC systems. This paper addresses low-latency ANC in the context of deep learning (i.e. deep ANC). A time-domain method using an attent...
Heming Wang,Xueliang Zhang,DeLiang Wang Heming Wang
Speech enhancement aims to improve the listening quality and intelligibility of noisy speech in adverse environments. It proves to be challenging to perform speech enhancement in very low signal-to-noise ratio (SNR) conditions. Conventional...
Mahdie Karbasi,Steffen Zeiler,Dorothea Kolossa Mahdie Karbasi
Being able to estimate speech intelligibility without the need for listening tests would confer great benefits for a wide range of speech processing applications. Many attempts have therefore been made to introduce an objective, and ideally...