International Journal of Advance Computational Engineering and Networking (IJACEN)
.
Follow Us On :
current issues
Volume-11,Issue-12  ( Dec, 2023 )
Past issues
  1. Volume-11,Issue-11  ( Nov, 2023 )
  2. Volume-11,Issue-10  ( Oct, 2023 )
  3. Volume-11,Issue-9  ( Sep, 2023 )
  4. Volume-11,Issue-8  ( Aug, 2023 )
  5. Volume-11,Issue-7  ( Jul, 2023 )
  6. Volume-11,Issue-6  ( Jun, 2023 )
  7. Volume-11,Issue-5  ( May, 2023 )
  8. Volume-11,Issue-4  ( Apr, 2023 )
  9. Volume-11,Issue-3  ( Mar, 2023 )
  10. Volume-11,Issue-2  ( Feb, 2023 )

Statistics report
Feb. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 132
Paper Published : 1541
No. of Authors : 4000
  Journal Paper


Paper Title :
Audio Pattern Recognition using Convolutional Neural Network

Author :Tanvi Ligade, Prakash Uttam, Rajshri Mahajan, Vidya More, Swapnil Mali

Article Citation :Tanvi Ligade ,Prakash Uttam ,Rajshri Mahajan ,Vidya More ,Swapnil Mali , (2022 ) " Audio Pattern Recognition using Convolutional Neural Network " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 13-17, Volume-10,Issue-9

Abstract : Abstract - Recently enormous work is done in the field of audio. In the Machine learning area, Audio Pattern recognition (APR) is an important topic with multiple tasks such as sound event detection, music classification, Audio classification, Acoustic scene classification, Speechemotion classification, and audio tagging. In this paper, we are presenting the training-based approach for Audio Pattern Recognition using CNN (Convolutional Neural Networks). There are different data sets available for this task, but they are having some disadvantages like a limitation for the duration [1] or having some parameters. For this, we created a custom dataset from different videos and audios. A different audio source is collected from some online sources whereas some are collected from the recording. In this dataset, there are audios available from 3 seconds to 5 seconds. In this paper, training and evaluating the data for recognizing patterns of audio for 10 classes is done. From the result of the training, it can be said that this dataset is useful for the different tasks which are used for audio Keywords - Audio Pattern Recognition, Convolutional Neural Network, Dataset

Type : Research paper

Published : Volume-10,Issue-9


DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-19040   View Here

Copyright: © Institute of Research and Journals

| PDF |
Viewed - 41
| Published on 2022-12-21
   
   
IRAJ Other Journals
IJACEN updates
Paper Submission is open now for upcoming Issue.
The Conference World

JOURNAL SUPPORTED BY