Noise estimation by minima controlled recursive averaging for robust speech enhancement

IEEE Signal Processing Letters

Volumn 9, Issue 1, 2002, Pages 12-15

  Cohen, Israel ^a,b   Berdugo, Baruch ^c  

^a IEEE   (Israel)

^b TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^c Lamar Signal Processing Ltd   (Israel)

Author keywords

Acoustic noise; Signal detection; Spectral analysis; Speech enhancement

Indexed keywords

SPEECH ENHANCEMENT;

COMPUTATIONAL METHODS; FOURIER TRANSFORMS; PROBABILITY; PROBABILITY DENSITY FUNCTION; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; SPEECH ANALYSIS;

ACOUSTIC NOISE MEASUREMENT;

EID: 0036226165     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/97.988717     Document Type: Article

References (12)

1. Spectral enhancement based on global soft decision
2. Tracking speech-presence uncertainty to improve speech enhancement in nonstationary noise environments
3. Noise estimation techniques for robust speech recognition
4. Speech enhancement using a soft-decision noise suppression filter
5. Quantile based noise estimation for spectral subtraction and Wiener filtering
6. Spectral subtraction based on minimum statistics
7. Speech enhancement for nonstationary noise environments
8. Computationally efficient speech enhancement by spectral minima tracking in subbands
9. Comparison of one- and two-channel noise-estimation techniques
10. Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems
11. Getting started with the DARPA TIMIT CD-ROM: An acoustic phonetic continuous speech database