Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks

By Erik Marchi, Giacomo Ferroni, Florian Eyben, L. Gabrielli, Stefano Squartini, Björn Schuller. 2014

93 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

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Citations in the corpus

Deep learning in neural networks: An overview (2014, background): “…(GonzalezDominguez et al., 2014), medium-vocabulary speech recognition (Geiger et al., 2014), prosody contour prediction (Fernandez et al., 2014), audio onset detection (Marchi et al., 2014), text-to-speech synthesis (Fan et al., 2014), and social signal classification (Brueckner & Schulter, 2014).”
RUDDER: Return Decomposition for Delayed Rewards (2018, background): “ing handwriting recognition [37], generation of writings [38], language modeling and identiﬁcation [35, 146], automatic language translation [126], speech recognition [107, 29] analysis of audio data [78], analysis, annotation, and description of video data [22, 136, 123]. LSTM has facilitated recen”
Computer vision and artificial intelligence in precision agriculture for grain crops: A systematic review (2018, unknown): “…conversion, cite fan2014synthesis, language identi ﬁ cation (Sak et al., 2014), translation (Sutskever et al., 2014), signal processing (Marchi et al., 2014), automatic recognition of characters (Breuel et al., 2013), automatic generation of subtitles (Zaremba et al., 201), among…”
Deep learning in video multi-object tracking: A survey (2019, methodology): “Convolutional neural networks (CNN) currently constitute the state-of-the-art in spatial pattern extraction, and are employed in tasks such as image classification [1, 2, 3] or object detection [4, 5, 6], while recurrent neural networks (RNN) like the Long Short-Term Memory (LSTM) are used to proces”
Explaining and Interpreting LSTMs (2019, methodology): “LSTM networks have been overwhelmingly successful in di↵erent speech and language applications, including handwriting recognition [24], generation of writings [23], language modeling and identification [22, 78], automatic language translation [73], speech recognition [63, 17], analysis of audio data”
Combining the real-time wavelet denoising and long-short-term-memory neural network for predicting stock indexes (2017, background): “However, most are not aiming at financial market prediction problems, such as [9] for tourist arrivals prediction and [10] for audio onset detection.”
LSTM: A Search Space Odyssey (2015, background): “2582924 structure prediction [11], analysis of audio [12], and video”