Results 41 to 50 of about 4,447 (146)
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Polyphonic sound event localization and detection (SELD) aims at detecting types of sound events with corresponding temporal activities and spatial locations. In this paper, a track-wise ensemble event independent network with a novel data augmentation method is proposed. The proposed model is based on our previous proposed Event-Independent Network V2
Hu, Jinbo +6 more
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Detection of Overlapping Acoustic Events using a Temporally-Constrained Probabilistic Model [PDF]
, 2016 International audienceIn this paper, a system for overlapping acoustic event detection is proposed, which models the temporal evolution of sound events.
Benetos, Emmanouil +3 more
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PLXTRM : prediction-led eXtended-guitar tool for real-time music applications and live performance [PDF]
, 2017 peer reviewedThis article presents PLXTRM, a system tracking picking-hand micro-gestures for real-time music applications and live performance. PLXTRM taps into the existing gesture vocabulary of the guitar player.
Bernardini Bressan, Federica +4 more
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Filterbank learning for deep neural network based polyphonic sound event detection
2016 International Joint Conference on Neural Networks (IJCNN), 2016 Deep learning techniques such as deep feedforward neural networks and deep convolutional neural networks have recently been shown to improve the performance in sound event detection compared to traditional methods such as Gaussian mixture models. One of the key factors of this improvement is the capability of deep architectures to automatically learn ...
Cakir, Emre +2 more
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Polyphonic Sound Event Detection Based on Transfer Learning Convolutional Retentive Network
Shuju Caiji Yu ChuliAiming at the problems of limited strong annotation datasets and the sharp degradation of detection performance in real‑world scenarios for polyphonic sound event detection tasks， a method for polyphonic sound event detection based on Transfer learning ...
CHEN Pengfei, XIA Xiuyu
doaj +1 more source
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units [PDF]
, 2018 Audio tagging aims to detect the types of sound events occurring in an audio recording. To tag the polyphonic audio recordings, we propose to use Connectionist Temporal Classification (CTC) loss function on the top of Convolutional Recurrent Neural ...
Hou, Yuanbo +3 more
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Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
, 2019 In this paper, we propose a new strategy for acoustic scene classification (ASC) , namely recognizing acoustic scenes through identifying distinct sound events.
Deng, Shiwen +3 more
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SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
, 2021 We present a new framework SoundDet, which is an end-to-end trainable and light-weight framework, for polyphonic moving sound event detection and localization. Prior methods typically approach this problem by preprocessing raw waveform into time-frequency representations, which is more amenable to process with well-established image processing ...
He, Yuhang +2 more
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Group feature calibration for sound event detection
EURASIP Journal on Audio, Speech, and Music ProcessingSound Event Detection (SED) is a pivotal task in audio signal processing with widespread applications, requiring the classification and temporal localization of sound events.
Yanzhen Ren +3 more
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Ecological IndicatorsUrban-natural environments, proximal to rapidly urbanizing cities, provide essential ecosystem functions that benefit both city residents and ecological communities.
Diego Espejo +5 more
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