Voicing detection based on adaptive aperiodicity thresholding for speech enhancement in non-stationary noise

IET Signal Processing

Volumn 8, Issue 2, 2014, Pages 119-130

  Cabañas Molero, Pablo ^a   Martínez Muñoz, Damian ^a   Vera Candeas, Pedro ^a   Ruiz Reyes, Nicolas ^a   Rodríguez Serrano, Francisco José ^a  

^a UNIVERSITY OF JAÉN   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); HEARING AIDS; SPEECH ENHANCEMENT;

ADAPTIVE THRESHOLDS; DECISION THRESHOLD; DETECTION ALGORITHM; DIFFERENCE FUNCTIONS; NOISE CONDITIONS; NONSTATIONARY NOISE; OBJECTIVE MEASURE; SPEECH ENHANCEMENT ALGORITHM;

SIGNAL DETECTION;

EID: 84897500022     PISSN: 17519675     EISSN: 17519683     Source Type: Journal    
DOI: 10.1049/iet-spr.2011.0224     Document Type: Article

References (28)

1. Ahmadi, S., Spanias, A.: 'Cepstrum-based pitch detection using a new statistical V/UV classification algorithm', IEEE Trans. Speech Audio Process., 1999, 7, (3), pp. 333-338
2. Nehorai, A., Porat, B.: 'Adaptive comb filtering for harmonic signal enhancement', IEEE Trans. Acoust. Speech Signal Process., 1986, 34, (5), pp. 1124-1138
3. George, E., Smith, M.: 'Speech analysis/synthesis and modification using an analysis-by-synthesis/overlap-add sinusoidal model', IEEE Trans. Speech Audio Process., 1997, 5, (5), pp. 389-406
4. Boll, S.: 'Suppression of acoustic noise in speech using spectral subtraction', IEEE Trans. Acoust. Speech Signal Process., 1979, 27, (2), pp. 113-120
5. Ephraim, Y., Malah, D.: 'Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator', IEEE Trans. Acoust. Speech Signal Process., 1984, 32, (6), pp. 1109-1121
6. Ephraim, Y., Van Trees, H.: 'A signal subspace approach for speech enhancement', IEEE Trans. Speech Audio Process., 1995, 3, (4), pp. 251-266
7. Qi, Y., Hunt, B.: 'Voiced-unvoiced-silence classifications of speech using hybrid features and a network classifier', IEEE Trans. Speech Audio Process., 1993, 1, (2), pp. 250-255
8. Kawahara, H., Masuda-Katsuse, I., de Cheveigné, A.: 'Restructuring speech representations using a pitch-adaptive time-frequency smoothing and an instantaneous-frequency-based F0 extraction: possible role of a repetitive structure in sounds', Speech Commun., 1999, 27, (3-4), pp. 187-207
9. Boersma, P.: 'Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound'. Proc. Institute of Phonetic Sciences, Amsterdam, The Netherlands, 1993, vol. 17, pp. 97-110
10. de Cheveigné, A., Kawahara, H.: 'Yin, a fundamental frequency estimator for speech and music', J. Acoust. Soc. Am., 2002, 111, (4), pp. 1917-1930
11. Kobatake, H.: 'Optimization of voiced/unvoiced decisions in nonstationary noise environments', IEEE Trans. Acoust. Speech Signal Process., 1987, 35, (1), pp. 9-18
12. ETSI ES 202 211 V1.1.1: 'Speech processing, transmission and quality aspects (STQ); distributed speech recognition; extended front-end feature extraction algorithm; compression algorithms; back-end speech reconstruction algorithm', 2003
13. Nakatani, T., Amano, S., Irino, T., Ishizuka, K., Kondo, T.: 'A method for fundamental frequency estimation and voicing decision: application to infant utterances recorded in real acoustical environments', Speech Commun., 2008, 50, (3), pp. 203-214
14. Beritelli, F., Casale, S., Russo, S., Serrano, S.: 'Adaptive V/UV speech detection based on characterization of background noise', EURASIP J. Audio, Speech, Music Process., 2009, Article ID 965436
15. Le Roux, J., Kameoka, H., Ono, N., de Cheveigné, A., Sagayama, S.: 'Single and multiple F0 contour estimation through parametric spectrogram modeling of speech in noisy environments', IEEE Trans. Audio, Speech, Lang. Process., 2007, 15, (4), pp. 1135-1145
16. Cabañas-Molero, P., Ruiz-Reyes, N., Vera-Candeas, P., Maldonado-Bascon, S.: 'Low-complexity F0-based speech/nonspeech discrimination approach for digital hearing aids', Multimedia Tools Appl., 2011, 54, (2), pp. 291-319
17. Martin, R.: 'Noise power spectral density estimation based on optimal smoothing and minimum statistics', IEEE Trans. Speech Audio Process., 2001, 9, (5), pp. 504-512
18. Rabiner, L.: 'A tutorial on hidden Markov models and selected applications in speech recognition', Proc. IEEE, 1989, 77, (2), pp. 257-286
19. Hu, Y., Loizou, P.: 'Subjective comparison of speech enhancement algorithms'. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006, pp. 153-156
20. Cho, E., Smith, J.O., Widrow, B.: 'Exploiting the harmonic structure for speech enhancement'. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 2012, pp. 4569-4572
21. Kamath, S., Loizou, P.: 'A multi-band spectral subtraction method for enhancing speech corrupted by colored noise'. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Orlando, FL, USA, May 2002, pp. 4160-4164
22. Ealey, D., Kelleher, H., Pearce, D.: 'Harmonic tunneling: tracking non-stationary noises during speech'. Proc. Seventh European Conf. Speech Communication and Technology, Aalborg, Denmark, September 2001, pp. 437-440
23. Ruiz-Reyes, N., Vera-Candeas, P., Muñoz, J., García-Galán, S., Cañadas, F.: 'New speech/music discrimination approach based on fundamental frequency estimation', Multimedia Tools Appl., 2009, 41, (2), pp. 253-286
24. ITU-T Recommendation P.862: 'Perceptual evaluation of speech quality (PESQ), and objective method for end-to-end speech quality assessment of narrowband telephone networks and speech codecs', 2000
25. Hu, Y., Loizou, P.: 'Evaluation of objective quality measures for speech enhancement', IEEE Trans. Audio, Speech, Lang. Process., 2008, 16, (1), pp. 229-238
26. Loizou, P.: 'Speech quality assessment', in Weisi, L., et al. (Eds.): 'Multimedia analysis, processing and communications' (Springer Verlag, 2011), pp. 623-654
27. Lu, Y., Loizou, P.: 'A geometric approach to spectral subtraction', Speech Commun., 2008, 50, (6), pp. 453-466
28. ETSI ES 202 050 V1.1.5: 'Speech processing, transmission and quality aspects (STQ); distributed speech recognition; advanced front-end feature extraction algorithm; compression algorithms', 2007