Results 31 to 40 of about 2,773 (174)
Mel frequency spectral domain defenses against adversarial attacks on speech recognition systems [PDF]
JASA Express Letters, 2023 Automatic speech recognition (ASR) systems are vulnerable to adversarial attacks due to their reliance on machine learning models. Many of the defenses explored for defending ASR systems simply adapt defense approaches developed for the image domain ...
Nicholas Mehlman +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
openaire +3 more sources
A Hybrid CNN and RNN Variant Model for Music Classification
Applied Sciences, 2023 Music genre classification has a significant role in information retrieval for the organization of growing collections of music. It is challenging to classify music with reliable accuracy.
Mohsin Ashraf +6 more
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Environment Sound Classification Based on Visual Multi-Feature Fusion and GRU-AWS
IEEE Access, 2020 There are two major questions regarding Environmental Sound Classification (ESC). What is the best audio recognition framework, and what is the most robust audio feature?
Ning Peng +6 more
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Enhancing Embedded Space with Low–Level Features for Speech Emotion Recognition
Applied SciencesThis work proposes an approach that uses a feature space by combining the representation obtained in the unsupervised learning process and manually selected features defining the prosody of the utterances.
Lukasz Smietanka, Tomasz Maka
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Detection of Abnormal Symptoms Using Acoustic-Spectrogram-Based Deep Learning
Applied SciencesAcoustic data inherently contain a variety of information, including indicators of abnormal symptoms. In this study, we propose a method for detecting abnormal symptoms by converting acoustic data into spectrogram representations and applying a deep ...
Seong-Yoon Kim +3 more
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Empirical Mode Decomposition-Based Feature Extraction for Environmental Sound Classification
Sensors, 2022 In environment sound classification, log Mel band energies (MBEs) are considered as the most successful and commonly used features for classification. The underlying algorithm, fast Fourier transform (FFT), is valid under certain restrictions.
Ammar Ahmed +3 more
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Analisis Akurasi dan Waktu Proses Deteksi Sentimen Menggunakan Image Mel-Spectrogram
Techno.ComDalam upaya meningkatkan interaksi manusia-mesin, penelitian deteksi sentimen sudah banyak dilakukan peneliti untuk tujuan tersebut. Seiring dengan berkembangnya Mesin Pembelajaran, penelitian ini akan membandingkan kemampuan empat model klasifikasi ...
Jutono Gondohanindijo
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ArrayEmotion-conditioned Mel-spectrogram generation plays an important role in expressive human–computer interaction systems. However, generating structurally coherent and emotionally consistent Mel-spectrograms remains a challenging task due to training ...
Dharmaiah Devarapalli +5 more
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Theoretical and Applied Mechanics Letters, 2023 Wind turbine blades are prone to failure due to high tip speed, rain, dust and so on. A surface condition detecting approach based on wind turbine blade aerodynamic noise is proposed.
Weijun Zhu +5 more
doaj +1 more source