-
2
-
-
0025041264
-
Perceptual linear predictive (PLP) analysis of Speech
-
April
-
H. Hermansky. "Perceptual linear predictive (PLP) analysis of Speech." The Journal of the Acoustic Soceity of America, vol. 87, no. 4, April 1994, pp. 1738-1752.
-
(1994)
The Journal of the Acoustic Soceity of America
, vol.87
, Issue.4
, pp. 1738-1752
-
-
Hermansky, H.1
-
3
-
-
84871609336
-
On the influence of rate, pitch, and spectrum on automatic speaker recognition performance
-
T. Quatieri, R. Dunn, and Reynolds. "On the influence of rate, pitch, and spectrum on automatic speaker recognition performance." in Proceedings of IEEE ICSLP-2000, vol. 2, 2000, pp. 491-494.
-
(2000)
Proceedings of IEEE ICSLP-2000
, vol.2
, pp. 491-494
-
-
Quatieri, T.1
Dunn, R.2
Reynolds3
-
4
-
-
0033738539
-
The NIST speaker recognition evaluation - Overview, methodology, system, results, perspective
-
Jun
-
G Doddington, M. Przybocki, and A. Martin, et al. "The NIST speaker recognition evaluation - Overview, methodology, system, results, perspective." Speech Communication, vol. 31, no. 2-3, Jun. 2000, pp. 225-254.
-
(2000)
Speech Communication
, vol.31
, Issue.2-3
, pp. 225-254
-
-
Doddington, G.1
Przybocki, M.2
Martin, A.3
-
6
-
-
4544352735
-
Improvement of speaker recognition by combining residual and prosodic features with acoustic features
-
ICASSP-2004
-
S. Chen, and H. Wang. "Improvement of speaker recognition by combining residual and prosodic features with acoustic features." in Proceedings of IEEE ICASSP-2004, vol. I, 2004, pp. 93-96.
-
(2004)
Proceedings of IEEE
, vol.1
, pp. 93-96
-
-
Chen, S.1
Wang, H.2
-
7
-
-
30444446629
-
Combining evidence from residual phase and MFCC features for speaker recognition
-
K. Rama, and B. Yegnanarayana. "Combining evidence from residual phase and MFCC features for speaker recognition." IEEE Signal Processing Letters, vol. 13, no. 1, 2006, pp. 52-55.
-
(2006)
IEEE Signal Processing Letters
, vol.13
, Issue.1
, pp. 52-55
-
-
Rama, K.1
Yegnanarayana, B.2
-
8
-
-
84883097102
-
On the importance of various modulation frequencies for speech recognition
-
N. Kanedera, T. Arai, and H. Hermansky, et al. "On the importance of various modulation frequencies for speech recognition." in Proceedings of EUROSPEECH'97, 1997, pp. 1079-1082.
-
(1997)
Proceedings of EUROSPEECH'97
, pp. 1079-1082
-
-
Kanedera, N.1
Arai, T.2
Hermansky, H.3
-
9
-
-
84953683778
-
Efficent Acoustic Parameters for Speaker Recognition
-
Mar
-
J.J.Wolf. "Efficent Acoustic Parameters for Speaker Recognition." The Journal of the Acoustic Soceity of America, vol. 51, no. 6 (Part 2), Mar. 1971, pp. 2044-2056.
-
(1971)
The Journal of the Acoustic Soceity of America
, vol.51
, Issue.6 PART 2
, pp. 2044-2056
-
-
Wolf, J.J.1
-
10
-
-
0017097478
-
A Comparative Study of Several Pitch Detection Algorithms
-
L. Rabiner, M. Cheng, A. Rosenberg, et al. "A Comparative Study of Several Pitch Detection Algorithms." IEEE Trans. Acoustics, Speech, and Signal Processing, vol. ASSP-24, no. 5, 1976, pp. 399-417.
-
(1976)
IEEE Trans. Acoustics, Speech, and Signal Processing
, vol.ASSP-24
, Issue.5
, pp. 399-417
-
-
Rabiner, L.1
Cheng, M.2
Rosenberg, A.3
-
11
-
-
0029209272
-
Robust text-independent speaker identification using Gaussian mixture speaker models
-
D. Reynolds and R. Rose. "Robust text-independent speaker identification using Gaussian mixture speaker models." IEEE Trans, on Speech and Audio Processing, vol. 3, no. 1,1995, pp. 72-83.
-
(1995)
IEEE Trans, on Speech and Audio Processing
, vol.3
, Issue.1
, pp. 72-83
-
-
Reynolds, D.1
Rose, R.2
-
12
-
-
34648861325
-
-
Nov. 15
-
NoiseX92 noise database, Http://spib.rice.edu/spib/select_noise.html, Nov. 15, 2002.
-
(2002)
NoiseX92 noise database
-
-
|