SOUND RECOGNITION OF SPECIES USING TENSOR FLOW
| Author(s) | : | B.Sri Vidya |
| Institution | : | semester M.Tech, Department of Information and technology GITAM (deemed to be university) HYDERABAD |
| Published In | : | Vol. 6, Issue 4 — April 2019 |
| Page No. | : | 1-9 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Animal sound recognition is the technological advancement in the audio recognition using machineLearning and deep learning. The audio recognition is traditionally focussed on the speech. The main purpose of animalsound recognition is to recognise the emotions of the species as animals and birds are tending to change their activitiesas well as their habitats due to the adverse effects on the environment or due to other natural or man-made calamities.The best way to monitor the species is by audio recognition. We train the machines by pre-recorded audio files. Andthese audio files should have no background noise or echoes to avoid overlapping.We here use convolutional neural networks using tensor flow and train the audio datasets of the species. Theconvolutional neural networks work on the frequency cepstral coefficients that are extracted from the audio datasets.The manuscript serves as a technical paper showing how the model works to achieve the desired result.
B.Sri Vidya, “SOUND RECOGNITION OF SPECIES USING TENSOR FLOW”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 6, Issue 4, pp. 1-9, April 2019.
