Results 101 to 110 of about 3,240 (204)
, 2021 While generative adversarial networks (GANs) based neural text-to-speech (TTS) systems have shown significant improvement in neural speech synthesis, there is no TTS system to learn to synthesize speech from text sequences with only adversarial feedback.
Lee, Sang-Hoon +4 more
core +1 more source
Advanced Functional Materials, Volume 36, Issue 37, 7 May 2026.Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma +13 more
wiley +1 more source
AMSVT: audio Mel-spectrogram vision transformer for spoken Arabic digit recognition
This work presents a novel model to recognize spoken digits in the Arabic language. Due to the transformer-based models' tremendous success in natural language processing (NLP), several attempts have been made to extend transformer-based designs to other
El Allali, Naoufal +2 more
core +2 more sources
Ecological InformaticsPassive acoustic monitoring of marine mammal vocalizations often relies on automated detectors to process large quantities of data. Many automated systems use spectrograms as a way to represent acoustic information, including those built on deep ...
Fabio Frazao, Ruth Joy, Michael Dowd
doaj +1 more source
e-Prime: Advances in Electrical Engineering, Electronics and EnergyLike many semi-arid countries around the world, Morocco benefits from ample solar radiance throughout the year. Taking advantage of this significant energy source, the local government has deployed vast photovoltaic installations to cover the nation’s ...
Karom Mohamed +7 more
doaj +1 more source
Confusion matrices at the first run of the proposed neural networks used on the mel-spectrogram dataset.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
What Did i Just Hear? Detecting Pornographic Sounds in Adult Videos Using Neural Networks
, 2022 Audio-based pornographic detection enables efficient adult content filtering without sacrificing performance by exploiting distinct spectral characteristics.
Lovenia, Holy +2 more
core +1 more source
Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
IEEE AccessDeepfake audio causes damage not only to individuals and companies, but also to nations; therefore, research on deepfake audio detection technology is crucial.
Daeun Song +3 more
doaj +1 more source
Predicted probabilities of the 1d CNN+LSTM model.
, 2023 (a) Raw data from the input and (b) Mel spectrogram. (c) Predicted probabilities from the trained 1D-CNN-LSTM model.
Changhwan Kim (4857199) +14 more
core +1 more source
Sound Event Detection for Music Signals Using Gaussian Processes
TecnoLógicas, 2013 In this paper we present a new methodology for detecting sound events in music signals using Gaussian Processes. Our method firstly takes a time-frequency representation, i.e. the spectrogram, of the input audio signal. Secondly the spectrogram dimension
Pablo A. Alvarado-Durán +2 more
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