Results 11 to 20 of about 2,773 (174)
Methods in Ecology and EvolutionPassive acoustic monitoring (PAM) is an important tool for wildlife monitoring. Deep learning, particularly convolutional neural networks (CNNs), has become the standard approach for developing bioacoustic classifiers.
Lorène Jeantet +4 more
doaj +2 more sources
Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network. [PDF]
Front Robot AI, 2021 In daily life, there are a variety of complex sound sources. It is important to effectively detect certain sounds in some situations. With the outbreak of COVID-19, it is necessary to distinguish the sound of coughing, to estimate suspected patients in the population.
Zhou Q +7 more
europepmc +6 more sources
MelHuBERT: A Simplified Hubert on Mel Spectrograms [PDF]
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2023 ASRU ...
Lin, Tzu-Quan +2 more
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A sinusoidal signal reconstruction method for the inversion of the mel-spectrogram [PDF]
2021 IEEE International Symposium on Multimedia (ISM), 2021 The synthesis of sound via deep learning methods has recently received much attention. Some problems for deep learning approaches to sound synthesis relate to the amount of data needed to specify an audio signal and the necessity of preserving both the long and short time coherence of the synthesised signal.
Natsiou, Anastasia, O'Leary, Sean
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Multitaper-Mel Spectrograms for Keyword Spotting
IEEE Signal Processing Letters, 2022 Keyword spotting (KWS) is one of the speech recognition tasks most sensitive to the quality of the feature representation. However, the research on KWS has traditionally focused on new model topologies, putting little emphasis on other aspects like feature extraction.
Douglas David Baptista de Souza +3 more
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Mel Spectrogram Inversion with Stable Pitch
CoRR, 2022 7 pages, 5 figures, Proceedings of the 23st International Society for Music Information Retrieval Conference, ISMIR ...
Bruno Di Giorgi +2 more
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Generating Diverse Vocal Bursts with StyleGAN2 and MEL-Spectrograms
CoRR, 2022 We describe our approach for the generative emotional vocal burst task (ExVo Generate) of the ICML Expressive Vocalizations Competition. We train a conditional StyleGAN2 architecture on mel-spectrograms of preprocessed versions of the audio samples. The mel-spectrograms generated by the model are then inverted back to the audio domain. As a result, our
Marco Jiralerspong, Gauthier Gidel
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Evaluation of Respiratory Sounds Using Image-Based Approaches for Health Measurement Applications
IEEE Open Journal of Engineering in Medicine and Biology, 2022 Goal: The evaluation of respiratory events using audio sensing in an at-home setting can be indicative of worsening health conditions. This paper investigates the use of image-based transfer learning applied to five audio visualizations to evaluate three
Madison Cohen-McFarlane +6 more
doaj +1 more source
Applied Sciences, 2022 In the background of artificial intelligence, the realization of smooth communication between people and machines has become the goal pursued by people. Mel spectrograms is a common method used in speech emotion recognition, focusing on the low-frequency
Juan Li +5 more
doaj +1 more source
Deep learning bird song recognition based on MFF-ScSEnet
Ecological Indicators, 2023 Bird diversity plays an important role in ecological balance, and bird song identification is of great practical significance. The spectrum generated by feature extraction shows good performance on classification.
Shipeng Hu +5 more
doaj +1 more source