Advances in WP1

Advances in WP1

Trento Meeting

11-12 January 2007

www.loquendo.com

2

WP1: Environment & Sensor RobustnessT1.2 Noise Independence

Noise Reduction:

– Spectral Subtraction (YEAR 1) and Spectral Attenuation (YEAR2)

– Evaluation of feature normalization techniques in Loquendo ASR(HEQ study + Revision 2) (Q3/4 YEAR2)

(PEQ study) (YEAR3)

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Y1,2+PEQ Front End configuration

Front End Configuration

RPLP Rasta-PLP frame with energy plus 12 CEP, plus first(D) and second(DD) derivative

+ PEQ Parameter Equalization (UGR) applyied to the RPLP frame, plus D, DD

+ WIE SNR Modified Rasta-PLP with Wiener-based denoising technique (PowSpec subtraction), plus D, DD

+ EM SNR Modified Rasta-PLP with Ephraim-Malah-based denoising technique (PowSpec attenuation), plus D,DD

+ EM SNR + PEQ Modified Rasta-PLP with Ephraim-Malah plus Parameter Equalization, plus D, DD

PEQ + Loquendo ASR on Aurora2 speech databases

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Y1,2+PEQ Performance evaluations

Performances in terms of Word Accuracy and

(Error Reduction – with respect to RPLP experiment)

CLEAN Models Test A Test B Test C A-B-C

RPLP 75.6 77.5 75.3 76.3

+ PEQ 87.1(47.1) 87.3(43.5) 86.9(47.0) 87.1(45.6)

+ WIE SNR 84.0(34.4) 84.4(30.7) 83.3(32.4) 84.0(32.5)

+ EM SNR 85.3(39.7) 84.2(29.5) 84.8(34.5) 84.8(35.9)

+ EM SNR + PEQ 86.4(44.3) 85.8(36.9) 86.6(45.7) 86.2(41.8)

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MULTI Models Test A Test B Test C A-B-C

RPLP 93.5 91.1 90.2 91.9

+ PEQ 92.8(-10.8) 91.4(3.4) 92.2(20.4) 92.1(2.5)

+ WIE SNR 93.9(6.1) 92.1(11.2) 90.5(3.1) 92.5(7.4)

+ EM SNR 94.0(7.7) 92.0(10.1) 91.1(9.2) 92.6(8.6)

+ EM SNR + PEQ 92.7(-12.3) 91.1(0.0) 91.7(15.3) 91.9(0.0)



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Aurora3 8kHz Ita WM Ita HM Spa WM Spa HM

RPLP 98.2 46.6 97.3 74.6

+ PEQ 97.6 (-33.3) 79.7 (62.0) 97.3 ( 0.0) 87.1 (49.2)

+ WIE SNR 98.3 ( 5.5) 77.5 (59.4) 97.6 (11.1) 89.8 (59.8)

+ EM SNR 98.4 (11.1) 82.2 (66.7) 97.7 (14.8) 88.8 (55.8)

+ EM SNR + PEQ 98.0 (-11.0) 87.0 (75.6) 97.8 (18.5) 90.8 (63.8)

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Y1,2+PEQ Performance evaluations(Sennheiser microphone)

CLEAN 8kHz

Clean Car Babble Rest. Street Airport Train Station

Noise Avg.

RPLP 85.2 54.3 23.1 29.4 34.0 29.3 32.3 33.7

+ PEQ 84.8 (-2.7)

69.5 (33.2)

54.3 (40.6)

50.2 (29.5)

52.7 (28.3)

53.5 (34.2)

53.8 (31.7)

55.7 (33.2)

+ WIE SNR 85.2 (0.0)

67.0 (27.8)

36.6 (17.5)

30.7 (1.8)

43.1 (13.8)

31.9 (3.7)

48.8 (24.4)

43.0 (14.0)

+ EM SNR 85.5 (2.0)

70.4 (35.2)

37.1 (18.2)

31.6 (3.1)

45.8 (13.8)

31.6 (3.2)

53.7 (31.6)

45.0 (17.0)

+ EM SNR + PEQ 85.4 (1.3)

70.9 (36.3)

53.9 (40.0)

49.5 (28.5)

54.9 (31.7)

51.3 (31.1)

59.1 (39.6)

56.6 (34.5)



12

Y1,2+PEQ Performance evaluations(second microphone)

CLEAN 8kHz

Clean Car Babble Rest. Street Airport Train Station

Noise Avg.

RPLP 59.4 35.7 16.2 21.4 22.9 19.3 22.8 23.1

+ PEQ 72.4 (33.0)

58.2 (34.9)

46.5 (36.1)

41.9 (26.1)

43.2 (26.3)

45.1 (31.9)

45.4 (29.3)

46.7 (30.7)

+ WIE SNR 60.1 (1.7)

50.2 (22.5)

25.7 (11.3)

23.6 (2.8)

29.2 (8.2)

22.6 (4.1)

35.1 (15.9)

31.1 (10.4)

+ EM SNR 60.7 (3.2)

52.3 (25.8)

27.8 (13.8)

23.4 (2.5)

31.0 (10.5)

23.5 (5.2)

39.1 (21.1)

32.9 (12.7)

+ EM SNR + PEQ 73.6 (34.9)

58.0 (34.6)

46.0 (35.5)

39.4 (22.9)

42.7 (25.7)

43.2 (29.6)

49.4 (34.4)

46.4 (30.3)



13

WP1: Workplan

• Selection of suitable benchmark databases; (m6)

• Completion of LASR baseline experimentation of Spectral Subtraction (Wiener SNR

dependent) (m12)

• Discriminative VAD (training+AURORA3 testing) (m16)

• Exprimentation of Spectral Attenuation rule

(Ephraim-Malah SNR dependent) (m21)

• Preliminary results on spectral subtraction and HEQ techniques (m24)

• Integration of denoising and normalization techniques (PEQ) (m33)

Advances in WP1

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