Single channel speech music separation using nonnegative matrix factorization and spectral masks [PDF]
, 2011 A single channel speech-music separation algorithm based on nonnegative matrix factorization (NMF) with spectral masks is proposed in this work. The proposed algorithm uses training data of speech and music signals with nonnegative matrix factorization ...
Erdogan, Hakan +2 more
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Research on voiceprint recognition of reactor fault based on LSTM neural network
Zhejiang dianli, 2023 High-voltage reactor is one of the critical equipment to ensure the safe and stable operation of power system. As the fault of high-voltage reactor is difficult to be identified accurately， a voiceprint recognition method based on LSTM （long short-term ...
CAO Litan +3 more
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Vertical Coherence of Turbulence in the Atmospheric Surface Layer: Connecting the Hypotheses of Townsend and Davenport [PDF]
, 2019 Statistical descriptions of coherent flow motions in the atmospheric boundary layer have many applications in the wind engineering community. For instance, the dynamical characteristics of large-scale motions in wall-turbulence play an important role in ...
Baars, Woutijn J. +3 more
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sEMG-Based Hand Gesture Recognition Using Binarized Neural Network
Sensors, 2023 Recently, human–machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as a wearable system, has the advantage that users can easily and ...
Soongyu Kang +5 more
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Self-imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training
, 2019 Self-imitating feedback is an effective and learner-friendly method for non-native learners in Computer-Assisted Pronunciation Training. Acoustic characteristics in native utterances are extracted and transplanted onto learner's own speech input, and ...
Chung, Minhwa, Yang, Seung Hee
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Inversion of auditory spectrograms, traditional spectrograms, and other envelope representations
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2014 Envelope representations such as the auditory or traditional spectrogram can be defined by the set of envelopes from the outputs of a filterbank. Common envelope extraction methods discard information regarding the fast fluctuations, or phase, of the signal.
Decorsière, Remi Julien Blaise +3 more
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Sensors, 2021 The appearance of wheezing sounds is widely considered by physicians as a key indicator to detect early pulmonary disorders or even the severity associated with respiratory diseases, as occurs in the case of asthma and chronic obstructive pulmonary ...
Juan De La Torre Cruz +5 more
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A Convolutional Neural Network model based on Neutrosophy for Noisy Speech Recognition
, 2019 Convolutional neural networks are sensitive to unknown noisy condition in the test phase and so their performance degrades for the noisy data classification task including noisy speech recognition.
Akbari, Ahmad +2 more
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Snoring Sound Recognition Using Multi-Channel Spectrograms
Archives of AcousticsObstructive sleep apnea-hypopnea syndrome (OSAHS) is a common and high-risk sleep-related breathing disorder. Snoring detection is a simple and non-invasive method. In many studies, the feature maps are obtained by applying a short-time Fourier transform
Ziqiang YE +3 more
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ACCOUNTING FOR PHASE CANCELLATIONS IN NON-NEGATIVE MATRIX FACTORIZATION USING WEIGHTED DISTANCES [PDF]
, 2014 (c)2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or ...
Ewert, S, IEEE, Plumbley, MD, Sandler, M
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