- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
On a robust ASR based on robust complex speech analysis
Description
The European Telecommunications Standards Institute (ETSI) standardized the advanced front-end (AFE) for automatic speech recognition (ASR). In the AFE a speech enhancement is realized by an iterative Wiener filter (IWF) in which a smoothed FFT spectrum over adjacent frames is used to design the filter. On the other hand, we have previously proposed robust time-varying complex AR (TV-CAR) speech analysis and evaluated the performance of speech processing such as F0 estimation and speech enhancement. TV-CAR analysis can estimate more accurate spectrum than FFT, especially in low frequencies because of the nature of the analytic signal. In addition, TV-CAR can estimate more accurate speech spectrum against additive noise. In this paper, a time-invariant version of wide-band TV-CAR analysis based on robust Extended Least Square (ELS) approach is introduced to the IWF in the AFE and is evaluated using the CENSREC-2 database.
Journal
-
- 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
-
2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) 129-133, 2015-11-01
IEEE
