Study on Feature Extraction of Speech Emotion Recognition

Study on Feature Extraction of Speech Emotion Recognition

Sweta Bhadra, Uzzal Sharma, Alok Choudhury;
adbu journal of engineering technology 2016 Vol. 4
234
choudhury2016studyadbu

Abstract

Speech emotion recognition system aims at automatically identifying the emotion of the speaker from the speech. It is a modification of the speech recognition system which only identifies the speech. In this paper, we study the feature extraction algorithm such as pitch, formant frequency and MFCC. Keywords:Feature extraction, pitch, formant frequency, MFCC

Citation

ID: 13847
Ref Key: choudhury2016studyadbu
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
13847
Unique Identifier:
93127c7e12748fef5241e025301dd10c
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet