Federated Learning for privacy-Friendly Health Apps: A Case Study on Ovulation Tracking
Journal of Sensor and Actuator NetworksIn 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 +12 more
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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 +4 more
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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
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Packet Loss Concealment Based on Phase Correction and Deep Neural Network
Applied Sciences, 2022 In a packet switching network, the performance of packet loss concealment (PLC) is often affected by inaccurate estimation of phase spectrum of speech signal in the lost packet.
Qiang Ji, Changchun Bao, Zihao Cui
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Retrieval from memory: Vulnerable or inviolable? [PDF]
, 2012 We show that retrieval from semantic memory is vulnerable even to the mere presence of speech. Irrelevant speech impairs semantic fluency—namely, lexical retrieval cued by a semantic category name—but only if it is meaningful (forward speech compared to ...
Hughes, Robert W. +2 more
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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 +3 more
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Profiles of Dysarthria: Clinical Assessment and Treatment
Brain Sciences, 2023 In recent decades, we have witnessed a wealth of theoretical work and proof-of-principle studies on dysarthria, including descriptions and classifications of dysarthric speech patterns, new and refined assessment methods, and innovative experimental ...
Wolfram Ziegler +2 more
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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 +2 more
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Robust Speaker Recognition Using Speech Enhancement And Attention Model [PDF]
, 2020 In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performance when speech signals are corrupted by noise.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
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Dataset of directional room impulse responses for realistic speech data
Data in BriefObtaining real-world multi-channel speech recordings is expensive and time-consuming. Therefore, multi-channel recordings are often artificially generated by convolving existing monaural speech recordings with simulated Room Impulse Responses (RIRs) from
Stefan Fragner +3 more
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