Non-Intrusive Speech Quality Prediction Using Modulation Energies and LSTM-Network

Author:

Cauchi BenjaminORCID,Siedenburg KaiORCID,Santos Joao F.ORCID,Falk Tiago H.ORCID,Doclo SimonORCID,Goetze Stefan

Funder

Audio-PSS

THERESIAH

Bundesministerium für Bildung und Forschung

EU Seventh Framework Programme project DREAMS

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 32 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. Speech emotion recognition in real static and dynamic human-robot interaction scenarios;Computer Speech & Language;2025-01

2. Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. A Non-Invasive Speech Quality Evaluation Algorithm for Hearing Aids With Multi-Head Self-Attention and Audiogram-Based Features;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. ICASSP 2023 Deep Noise Suppression Challenge;IEEE Open Journal of Signal Processing;2024

5. KAQ: A Non-Intrusive Stacking Framework for Mean Opinion Score Prediction with Multi-Task Learning;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

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