Results 41 to 50 of about 8,338,200 (223)
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
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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
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Percussion-Based Pipeline Ponding Detection Using a Convolutional Neural Network
Applied Sciences, 2022 Pipeline transportation is the main method for long-distance gas transportation; however, ponding in the pipeline can affect transportation efficiency and even cause corrosion to the pipeline in some cases.
Dan Yang +3 more
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cMelGAN: An Efficient Conditional Generative Model Based on Mel Spectrograms
CoRR, 2022 Analysing music in the field of machine learning is a very difficult problem with numerous constraints to consider. The nature of audio data, with its very high dimensionality and widely varying scales of structure, is one of the primary reasons why it is so difficult to model.
Tracy Qian +2 more
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CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion [PDF]
Interspeech 2020, 2020 Non-parallel voice conversion (VC) is a technique for learning mappings between source and target speeches without using a parallel corpus. Recently, cycle-consistent adversarial network (CycleGAN)-VC and CycleGAN-VC2 have shown promising results regarding this problem and have been widely used as benchmark methods.
Takuhiro Kaneko +3 more
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An investigation of the reconstruction capacity of stacked convolutional autoencoders for log-mel-spectrograms [PDF]
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2022 In audio processing applications, the generation of expressive sounds based on high-level representations demonstrates a high demand. These representations can be used to manipulate the timbre and influence the synthesis of creative instrumental notes. Modern algorithms, such as neural networks, have inspired the development of expressive synthesizers ...
Anastasia Natsiou +2 more
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Mel-spectrogram features for acoustic vehicle detection and speed estimation
2022 26th International Conference on Information Technology (IT), 2022 The paper addresses acoustic vehicle detection and speed estimation from single sensor measurements. We predict the vehicle's pass-by instant by minimizing clipped vehicle-to-microphone distance, which is predicted from the mel-spectrogram of input audio, in a supervised learning approach.
Nikola Bulatovic, Slobodan Djukanovic
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Iterating over 28,500 steps of the Mel-spectrogram.
, 2023 Iterating over 28,500 steps of the Mel-spectrogram.
Xianyou Zhu (11588965) +1 more
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Applied Sciences, 2021 In this paper, feature extraction methods are developed based on the non-negative matrix factorization (NMF) algorithm to be applied in weakly supervised sound event detection. Recently, the development of various features and systems have been attempted
Seokjin Lee +4 more
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Comparative Study of Spectrogram, Cepstrum and Mel-Frequency Analysis for Bushing Fault Diagnosis using Sound Signal. [PDF]
, 2020 This research paper aims to present the Comparative Study of Spectrogram, Cepstrum and Mel-Frequency Analysis for Bushing Fault Diagnosis using Sound Signal, have three case of condition testing for shaded pole motor. This research used shaded pole motor
Thungsuk, N. +5 more
core +2 more sources