Results 1 to 10 of about 132,794 (332)

Speech acoustics: How much science?

J Nat Sci Biol Med, 2012
Human vocalizations are sounds made exclusively by a human vocal tract. Among other vocalizations, for example, laughs or screams, speech is the most important. Speech is the primary medium of that supremely human symbolic communication system called language.
Tiwari M.
europepmc   +5 more sources

Investigation of the influence of the torso, lips and vocal tract configuration on speech directivity using measurements from a custom head and torso simulator

Acta Acustica, 2023
The human voice is a directional sound source. This property has been explored for more than 200 years, mainly using measurements of human participants. Some efforts have been made to understand the anatomical parameters that influence speech directivity,
Blandin Rémi, Geng Jingyan, Birkholz Peter   +2 more
doaj   +1 more source

HierTTS: Expressive End-to-End Text-to-Waveform Using a Multi-Scale Hierarchical Variational Auto-Encoder

Applied Sciences, 2023
End-to-end text-to-speech (TTS) models that directly generate waveforms from text are gaining popularity. However, existing end-to-end models are still not natural enough in their prosodic expressiveness.
Zengqiang Shang, Peiyang Shi, Pengyuan Zhang, Li Wang, Guangying Zhao   +4 more
doaj   +1 more source

Explore Long-Range Context Features for Speaker Verification

Applied Sciences, 2023
Multi-scale context information, especially long-range dependency, has shown to be beneficial for speaker verification (SV) tasks. In this paper, we propose three methods to systematically explore long-range context SV feature extraction based on ResNet ...
Zhuo Li, Zhenduo Zhao, Wenchao Wang, Pengyuan Zhang, Qingwei Zhao   +4 more
doaj   +1 more source

An individualization approach for head-related transfer function in arbitrary directions based on deep learning [PDF]

JASA Express Letters, 2022
This paper provides an individualization approach for head-related transfer function (HRTF) in arbitrary directions based on deep learning by utilizing dual-autoencoder architecture to establish the relationship between HRTF magnitude spectrum and ...
Dingding Yao, Jiale Zhao, Longbiao Cheng, Junfeng Li, Xiaodong Li, Xiaochao Guo, Yonghong Yan   +6 more
doaj   +1 more source

Improving Transformer Based End-to-End Code-Switching Speech Recognition Using Language Identification

Applied Sciences, 2021
A Recurrent Neural Networks (RNN) based attention model has been used in code-switching speech recognition (CSSR). However, due to the sequential computation constraint of RNN, there are stronger short-range dependencies and weaker long-range ...
Zheying Huang, Pei Wang, Jian Wang, Haoran Miao, Ji Xu, Pengyuan Zhang   +5 more
doaj   +1 more source

A Feature Optimization Approach Based on Inter-Class and Intra-Class Distance for Ship Type Classification

Sensors, 2020
Deep learning based methods have achieved state-of-the-art results on the task of ship type classification. However, most existing ship type classification algorithms take time–frequency (TF) features as input, the underlying discriminative information ...
Chen Li, Ziyuan Liu, Jiawei Ren, Wenchao Wang, Ji Xu   +4 more
doaj   +1 more source

Confidence Learning for Semi-Supervised Acoustic Event Detection

Applied Sciences, 2021
In recent years, the involvement of synthetic strongly labeled data, weakly labeled data, and unlabeled data has drawn much research attention in semi-supervised acoustic event detection (SAED).
Yuzhuo Liu, Hangting Chen, Jian Wang, Pei Wang, Pengyuan Zhang   +4 more
doaj   +1 more source

Acoustic Analysis of PD Speech [PDF]

Parkinson's Disease, 2011
According to the U.S. National Institutes of Health, approximately 500,000 Americans have Parkinson's disease (PD), with roughly another 50,000 receiving new diagnoses each year. 70%–90% of these people also have the hypokinetic dysarthria associated with PD.
Karen Chenausky, Joel MacAuslan, Richard Goldhor   +2 more
openaire   +3 more sources

Temporal Convolution Network Based Joint Optimization of Acoustic-to-Articulatory Inversion

Applied Sciences, 2021
Articulatory features are proved to be efficient in the area of speech recognition and speech synthesis. However, acquiring articulatory features has always been a difficult research hotspot.
Guolun Sun, Zhihua Huang, Li Wang, Pengyuan Zhang   +3 more
doaj   +1 more source