CWT-Based Approach for Epoch Extraction From Telephone Quality Speech

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

CWT-Based Approach for Epoch Extraction From Telephone Quality Speech

By: 
Y. Madhu Keerthana; M. Kiran Reddy; K. Sreenivasa Rao

Epochs are the instants of significant excitation to vocal tract system. Existing methods can extract epochs accurately from clean speech signals. However, identification of epoch locations from band-limited telephonic speech is challenging due to the attenuation of fundamental frequency component and degradation caused by channel effect. This letter proposes an epoch extraction method that can accurately extract epochs from clean as well as telephonic speech signals. In the proposed method, the significant impulse-like discontinuities are extracted directly from the speech signal using continuous wavelet transform. The performance of the proposed method is evaluated using three speakers, namely, SLT, BDL, and JMK from CMU Arctic database. The clean speech is simulated using G.191 software tools to obtain telephonic speech. Experimental results show that the epoch identification rate of proposed method is significantly better than the state-of-the-art methods for the telephone quality speech.

SPS on Twitter

  • We are happy to welcome Prof. Jiebo Luo as the new Editor-in-Chief of IEEE Transactions on Multimedia beginning in… https://t.co/9ZgBrgkFXv
  • wants your talents! Our tenure-track position in engineering applications of information and data science a… https://t.co/QrqTAFGlyM
  • If you’re missing out on , don’t worry - we’ll be tweeting all week long. Follow along with us to see the action!

SPS Videos


Signal Processing in Home Assistants

 


Multimedia Forensics


Careers in Signal Processing             

 


Under the Radar