Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing

Author:

Graetzer Simone,Barker Jon,Cox Trevor J.,Akeroyd Michael,Culling John F.,Naylor Graham,Porter Eszter,Muñoz Rhoddy Viveros

Publisher

ISCA

Cited by 44 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effect of simulated hearing loss on automatic speech recognition for an android robot-patient;Frontiers in Robotics and AI;2024-09-02

2. Recovering speech intelligibility with deep learning and multiple microphones in noisy-reverberant situations for people using cochlear implants;The Journal of the Acoustical Society of America;2024-06-01

3. The Multimodal Information Based Speech Processing (MISP) 2023 Challenge: Audio-Visual Target Speaker Extraction;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. Binaural Multichannel Blind Speaker Separation With a Causal Low-Latency and Low-Complexity Approach;IEEE Open Journal of Signal Processing;2024

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