Results 21 to 30 of about 132,661 (296)
This study presents comprehensive active cancellation of booming noise caused by the engine and the driveline inside a passenger car. In modern noise control systems for vehicles, booming noise caused by engine harmonics could be effectively suppressed ...
Seonghyeon Kim, M. Ercan Altinsoy
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A Two-Stage Approach to Note-Level Transcription of a Specific Piano
This paper presents a two-stage transcription framework for a specific piano, which combines deep learning and spectrogram factorization techniques. In the first stage, two convolutional neural networks (CNNs) are adopted to recognize the notes of the ...
Qi Wang, Ruohua Zhou, Yonghong Yan
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Convex separable problems with linear and box constraints [PDF]
In this work, we focus on separable convex optimization problems with linear and box constraints and compute the solution in closed-form as a function of some Lagrange multipliers that can be easily computed in a finite number of iterations.
D'Amico, Antonio A. +2 more
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Chinese Dialogue Intention Classification Based on Multi-Model Ensemble
In dialogue systems, understanding the user utterances is crucial for providing appropriate responses. A traditional dialogue act classification (DA) task is to classify each user reply into “ACCEPT, REJECT, PROPOSE, and others”.
Manshu Tu, Bing Wang, Xuemin Zhao
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Acoustic effects of style of speech [PDF]
Recordings were made of nine subjects producing test words in seven different styles, varying from completely informal conversation to reading the test words in lists. The subjects were all educated male speakers of standard English who had lived in Southern California from an early age.
P, Ladefoged, I, Kameny, W, Brackenridge
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Silent speech: restoring the power of speech to people whose larynx has been removed [PDF]
Every year, some 17,500 people in Europe and North America lose the power of speech after undergoing a laryngectomy, normally as a treatment for throat cancer.
Gilbert, James M. +4 more
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Relevancy between Objects Based on Common Sense for Semantic Segmentation
Research on image classification sparked the latest deep-learning boom. Many downstream tasks, including semantic segmentation, benefit from it. The state-of-the-art semantic segmentation models are all based on deep learning, and they sometimes make ...
Jun Zhou, Xing Bai, Qin Zhang
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Learning a semantic parser from spoken utterances [PDF]
Gaspers J, Cimiano P. Learning a semantic parser from spoken utterances.
Cimiano, Philipp , Gaspers, Judith
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Direct Acoustics-to-Word Models for English Conversational Speech Recognition
Recent work on end-to-end automatic speech recognition (ASR) has shown that the connectionist temporal classification (CTC) loss can be used to convert acoustics to phone or character sequences.
Audhkhasi, Kartik +4 more
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Acoustic segmentation of speech [PDF]
A brief argument is presented for the need for automatic speech segmentation both to facilitate automatic speech recognition and for its theoretical linguistic importance. The problem of speech segmentation in the acoustic domain using a digital computer is examined in detail, that is, of determining an acoustic partition in time which has linguistic ...
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