Results 41 to 50 of about 19,125,289 (344)

NMF-weighted SRP for multi-speaker direction of arrival estimation: robustness to spatial aliasing while exploiting sparsity in the atom-time domain

EURASIP Journal on Audio, Speech, and Music Processing, 2021
Localization of multiple speakers using microphone arrays remains a challenging problem, especially in the presence of noise and reverberation. State-of-the-art localization algorithms generally exploit the sparsity of speech in some representation for ...
Sushmita Thakallapalli, Suryakanth V. Gangashetty, Nilesh Madhu   +2 more
doaj   +1 more source

iCUS: Intelligent CU Size Selection for HEVC Inter Prediction

IEEE Access, 2020
The hierarchical quadtree partitioning of Coding Tree Units (CTU) is one of the striking features in HEVC that contributes towards its superior coding performance over its predecessors.
Buddhiprabha Erabadda, Thanuja Mallikarachchi, Gosala Kulupana, Anil Fernando   +3 more
doaj   +1 more source

Elastic CRFs for Open-Ontology Slot Filling

Applied Sciences, 2021
Slot filling is a crucial component in task-oriented dialog systems that is used to parse (user) utterances into semantic concepts called slots. An ontology is defined by the collection of slots and the values that each slot can take.
Yinpei Dai, Yichi Zhang, Hong Liu, Zhijian Ou, Yi Huang, Junlan Feng   +5 more
doaj   +1 more source

Speech Processing in Computer Vision Applications [PDF]

, 2020
Deep learning has been recently proven to be a viable asset in determining features in the field of Speech Analysis. Deep learning methods like Convolutional Neural Networks facilitate the expansion of specific feature information in waveforms, allowing ...
Waterworth, Nicholas
core   +2 more sources

Effective Exploitation of Posterior Information for Attention-Based Speech Recognition

IEEE Access, 2020
End-to-end attention-based modeling is increasingly popular for tackling sequence-to-sequence mapping tasks. Traditional attention mechanisms utilize prior input information to derive attention, which then conditions the output.
Jian Tang, Junfeng Hou, Yan Song, Li-Rong Dai, Ian Mcloughlin   +4 more
doaj   +1 more source

Effective Dereverberation with a Lower Complexity at Presence of the Noise

Applied Sciences, 2022
Adaptive beamforming and deconvolution techniques have shown effectiveness for reducing noise and reverberation. The minimum variance distortionless response (MVDR) beamformer is the most widely used for adaptive beamforming, whereas multichannel linear ...
Fengqi Tan, Changchun Bao, Jing Zhou
doaj   +1 more source

Transfer Learning for Speech and Language Processing [PDF]

, 2015
Transfer learning is a vital technique that generalizes models trained for one setting or task to other settings or tasks. For example in speech recognition, an acoustic model trained for one language can be used to recognize speech in another language ...
Wang, Dong, Zheng, Thomas Fang
core   +1 more source

Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking

Journal of Sensor and Actuator Networks
In an era of increasing reliance on digital health solutions, safeguarding user privacy has emerged as a paramount concern. Health applications often need to balance advanced AI functionalities with sufficient privacy measures to ensure user engagement ...
Nikolaos Pavlidis, Andreas Sendros, Theodoros Tsiolakis, Periklis Kostamis, Christos Karasoulas, Eleni Briola, Christos Chrysanthos Nikolaidis, Vasilis Perifanis, George Drosatos, Eleftheria Katsiri, Despoina Elisavet Filippidou, Anastasios Manos, Pavlos S. Efraimidis   +12 more
doaj   +1 more source

Impaired Auditory Temporal Selectivity in the Inferior Colliculus of Aged Mongolian Gerbils [PDF]

, 2011
Aged humans show severe difficulties in temporal auditory processing tasks (e.g., speech recognition in noise, low-frequency sound localization, gap detection). A degradation of auditory function with age is also evident in experimental animals.
Grothe, Benedikt, Khouri, Leila, Lesica, Nicholas A.   +2 more
core   +1 more source

Segment boundary detection directed attention for online end-to-end speech recognition

EURASIP Journal on Audio, Speech, and Music Processing, 2020
Attention-based encoder-decoder models have recently shown competitive performance for automatic speech recognition (ASR) compared to conventional ASR systems.
Junfeng Hou, Wu Guo, Yan Song, Li-Rong Dai   +3 more
doaj   +1 more source