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A Mel Spectrogram Enhancement Paradigm Based on CWT in Speech Synthesis
2024 International Conference on Asian Language Processing (IALP)Accepted by IALP ...
Guoqiang Hu, Huaning Tan
exaly +4 more sources
Mel-Spectrogram Inversion via Alternating Direction Method of Multipliers
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Accepted to ICASSP ...
Yoshiki Masuyama
exaly +3 more sources
CleanMel: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR
IEEE Transactions on Audio, Speech and Language ProcessingIn this work, we propose CleanMel, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance. The proposed network takes as input the noisy and reverberant microphone recording and predicts the corresponding clean Mel-spectrogram.
Nian Shao, Pengyu Wang, Xiaofei Li
exaly +3 more sources
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EFFICIENT AUDIO SOURCE SEPARATION USING MEL-SPECTROGRAMS
2020Audio source separation deals with extracting a source of audio from a mixture, for example vocals from a musical recording. Recent strides have been made in the release of the Open-Unmix GitHub project in September of 2019 to provide new researchers with a framework to hit the ground running with state-of-the-art techniques. The base architecture uses
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Audio Forgery Detection Method with Mel Spectrogram
2023 16th International Conference on Information Security and Cryptology (ISCTürkiye), 2023Hatice Kübra Güç +3 more
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Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN
2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Speech emotion recognition (SER) in health applications can offer several benefits by providing insights into the emotional well-being of individuals. In this work, we propose a method for SER using time-frequency representation of the speech signals and neural networks.
Roneel V. Sharan +2 more
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Age Classification Based on Voice Using Mel-Spectrogram and MFCC
2023 24th International Conference on Digital Signal Processing (DSP), 2023Tariq Al-Maashani +2 more
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Forge Audio Detection Using Keypoint Features on Mel Spectrograms
2022 45th International Conference on Telecommunications and Signal Processing (TSP), 2022Güzin Ulutas +2 more
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Transfer Learning in Heart Sound Classification using Mel spectrogram
Computing in Cardiology Conference (CinC), 2022Xin Li 0052 +2 more
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LipSound: Neural Mel-Spectrogram Reconstruction for Lip Reading
Interspeech 2019, 2019Leyuan Qu +2 more
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