- Home
- Search Results
- Page 1 of 1
Search for: All records
-
Total Resources2
- Resource Type
-
0002000000000000
- More
- Availability
-
11
- Author / Contributor
- Filter by Author / Creator
-
-
Hansen, John HL (2)
-
Liu, Xi (2)
-
Chen, Szu-Jui (1)
-
Joglekar, Aditya (1)
-
Shekar, Meena_M C (1)
-
#Tyler Phillips, Kenneth E. (0)
-
#Willis, Ciara (0)
-
& Abreu-Ramos, E. D. (0)
-
& Abramson, C. I. (0)
-
& Abreu-Ramos, E. D. (0)
-
& Adams, S.G. (0)
-
& Ahmed, K. (0)
-
& Ahmed, Khadija. (0)
-
& Aina, D.K. Jr. (0)
-
& Akcil-Okan, O. (0)
-
& Akuom, D. (0)
-
& Aleven, V. (0)
-
& Andrews-Larson, C. (0)
-
& Archibald, J. (0)
-
& Arnett, N. (0)
-
- Filter by Editor
-
-
& Spizer, S. M. (0)
-
& . Spizer, S. (0)
-
& Ahn, J. (0)
-
& Bateiha, S. (0)
-
& Bosch, N. (0)
-
& Brennan K. (0)
-
& Brennan, K. (0)
-
& Chen, B. (0)
-
& Chen, Bodong (0)
-
& Drown, S. (0)
-
& Ferretti, F. (0)
-
& Higgins, A. (0)
-
& J. Peters (0)
-
& Kali, Y. (0)
-
& Ruiz-Arias, P.M. (0)
-
& S. Spitzer (0)
-
& Sahin. I. (0)
-
& Spitzer, S. (0)
-
& Spitzer, S.M. (0)
-
(submitted - in Review for IEEE ICASSP-2024) (0)
-
-
Have feedback or suggestions for a way to improve these results?
!
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
-
In recent decades, considerable research has been devoted to speech enhancement leveraging the short-term Fourier transform (STFT) analysis. As speech processing technology evolves, the significance of phase information in enhancing speech intelligibility becomes more noticeable. Typically, the Hanning window has been widely employed as analysis window in STFT. In this study, we propose the Chebyshev window for phase analysis, and the Hanning window for magnitude analysis. Next, we introduce a novel cepstral domain enhancement approach designed to robustly reinforce the harmonic structure of speech. The performance of our model is evaluated using the DNS challenge test set as well as the naturalistic APOLLO Fearless Steps evaluation set. Experimental results demonstrate that the Chebyshev-based phase solution outperforms the Hanning option for in phase-aware speech enhancement. Furthermore, the incorporation of quefrency emphasis proves effective in enhancing overall speech quality.more » « lessFree, publicly-accessible full text available September 1, 2025
-
Hansen, John HL; Joglekar, Aditya; Shekar, Meena_M C; Chen, Szu-Jui; Liu, Xi (, IEEE)The Fearless Steps Apollo (FS-APOLLO) resource is a collection of 150,000 hours of audio, associated meta-data, and supplemental speech technology infrastructure intended to benefit the (i) speech processing technology, (ii) communication science, team-based psychology, and (iii) education/STEM, history/preservation/archival communities. The FS-APOLLO initiative which started in 2014 has since resulted in the preservation of over 75,000 hours of NASA Apollo Missions audio. Systems created for this audio collection have led to the emergence of several new Speech and Language Technologies (SLT). This paper seeks to provide an overview of the latest advancements in the FS-Apollo effort and explore upcoming strategies in big-data deployment, outreach, and novel avenues of K-12 and STEM education facilitated through this resource.more » « less