ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition (original) (raw)

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Logan Ford

Interspeech 2019, 2019

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Tanuj Bhatt

2020

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2020

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Minkyu Lim

Ksii Transactions on Internet and Information Systems, 2018

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Amit Nayak

ArXiv, 2020

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CnnSound: Convolutional Neural Networks for the Classification of Environmental Sounds

Huseyin Seker

2020 The 4th International Conference on Advances in Artificial Intelligence, 2020

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Timescalenet: a multiresolution approcha for raw audio recognition

Aro Ramamonjy

HAL (Le Centre pour la Communication Scientifique Directe), 2019

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IJERT-Improved Deep CNN with Reduced Parameters for Automatic Identification of Environmental Sounds

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International Journal of Engineering Research and Technology (IJERT), 2019

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A Study of Features and Deep Neural Network Architectures and Hyper-Parameters for Domestic Audio Classification

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Applied Sciences

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Fuzzy Systems and Soft Computing, 2024

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EURASIP Journal on Audio, Speech, and Music Processing

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Sajjad Abdoli

Expert Systems with Applications

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Audio Recognition using Mel Spectrograms and Convolution Neural Networks

Jared Leitner

2019

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TimeScaleNet : a Multiresolution Approach for Raw Audio Recognition using Learnable Biquadratic IIR Filters and Residual Networks of Depthwise-Separable One-Dimensional Atrous Convolutions

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IEEE Journal of Selected Topics in Signal Processing

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An analysis of convolutional neural networks for speech recognition

Neha Sharma

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015

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Timescalenet: a multiresolution approch for raw audio recognition

Aro Ramamonjy

HAL (Le Centre pour la Communication Scientifique Directe), 2019

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Automatic Environmental Sound Recognition (AESR) Using Convolutional Neural Network

Rayhan Ahmed

International Journal of Modern Education and Computer Science, 2020

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Attention is All You Need? Good Embeddings with Statistics are enough:Large Scale Audio Understanding without Transformers/ Convolutions/ BERTs/ Mixers/ Attention/ RNNs or

Prateek Verma

arXiv (Cornell University), 2021

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A new pyramidal concatenated CNN approach for environmental sound classification

fatih demir

Applied Acoustics, 2020

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Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices

lam Pham

Cornell University - arXiv, 2022

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Deep Learning Frameworks Applied For Audio-Visual Scene Classification

lam Pham

2021

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A Low-Compexity Deep Learning FrameworkFor Acoustic Scene Classification

lam Pham

2021

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Environmental sound classification using a regularized deep convolutional neural network with data augmentation

Zohaib Mushtaq

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PERSA+: A Deep Learning Front-End for Context-Agnostic Audio Classification

Charalampos Dimoulas

arXiv (Cornell University), 2021

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Classifier Architectures for Acoustic Scenes and Events: Implications for DNNs, TDNNs, and Perceptual Features from DCASE 2016

Jörn Anemüller

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Deep Convolutional Neural Networks for Environmental Sound Classification

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International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

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Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks

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IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2017

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Low-Complexity Audio Embedding Extractors

Florian Schmid

arXiv (Cornell University), 2023

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MosAIc: A Classical Machine Learning Multi-Classifier Based Approach against Deep Learning Classifiers for Embedded Sound Classification

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Applied Sciences

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