♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 1/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay ICA 2010 : 20th Int.

Slides:



Advertisements
Similar presentations
Revised estimates of human cochlear tuning from otoacoustic and behavioral measurements Christopher A. Shera, John J. Guinan, Jr., and Andrew J. Oxenham.
Advertisements

SOUND PRESSURE, POWER AND LOUDNESS MUSICAL ACOUSTICS Science of Sound Chapter 6.
August 2004Multirate DSP (Part 2/2)1 Multirate DSP Digital Filter Banks Filter Banks and Subband Processing Applications and Advantages Perfect Reconstruction.
Introduction Relative weights can be estimated by fitting a linear model using responses from individual trials: where g is the linking function. Relative.
Hearing and Deafness 2. Ear as a frequency analyzer Chris Darwin.
CS 551/651: Structure of Spoken Language Lecture 11: Overview of Sound Perception, Part II John-Paul Hosom Fall 2010.
Pitch organisation in Western tonal music. Pitch in two dimensions Pitch perception in music is often thought of in two dimensions, pitch height and pitch.
Filtering Filtering is one of the most widely used complex signal processing operations The system implementing this operation is called a filter A filter.
Structure of human ear Understanding the processes of human auditory system are key for posting requirements for architectural acoustics. This gives us.
Chapter 6: Masking. Masking Masking: a process in which the threshold of one sound (signal) is raised by the presentation of another sound (masker). Masking.
Source Localization in Complex Listening Situations: Selection of Binaural Cues Based on Interaural Coherence Christof Faller Mobile Terminals Division,
1 Audio Compression Techniques MUMT 611, January 2005 Assignment 2 Paul Kolesnik.
SUBJECTIVE ATTRIBUTES OF SOUND Acoustics of Concert Halls and Rooms Science of Sound, Chapters 5,6,7 Loudness, Timbre.
Interrupted speech perception Su-Hyun Jin, Ph.D. University of Texas & Peggy B. Nelson, Ph.D. University of Minnesota.
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
TOPIC 4 BEHAVIORAL ASSESSMENT MEASURES. The Audiometer Types Clinical Screening.
Sound source segregation (determination)
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
Perceptual Weighting Strategies in Normal Hearing and Hearing Impaired Children and Adults Andrea Pittman, Ph.D. Patricia Stelmachowicz, Ph.D. Dawna Lewis,
Fundamentals of Perceptual Audio Encoding Craig Lewiston HST.723 Lab II 3/23/06.
EE Audio Signals and Systems Psychoacoustics (Masking) Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
Hearing.
Real-time Implementation of Multi-band Frequency Compression for Listeners with Moderate Sensorineural Impairment [Ref.: N. Tiwari, P. C. Pandey, P. N.
Figures for Chapter 6 Compression
Physics 1251 The Science and Technology of Musical Sound Unit 2 Session 14 MWF Human Perception: Loudness Unit 2 Session 14 MWF Human Perception: Loudness.
Speech Enhancement Using Noise Estimation Based on
1 SPEECH PROCESSING FOR BINAURAL HEARING AIDS Dr P. C. Pandey EE Dept., IIT Bombay Feb’03.
Second International Conference on Intelligent Interactive Technologies and Multimedia (IITM 2013), March 2013, Allahabad, India 09 March 2013 Speech.
IIT Bombay Dr. Prem C. Pandey Dr. Pandey is a Professor in Electrical Engineering at IIT Bombay. He is currently also the Associate.
1/18 1.Intro 2. Implementation 3. Results 4. Con.
♠ 1.Intro 2. List. tests 3. Results 4 Concl.♠♠ 1.Intro 2. List. tests 3. Results 4 Concl. ♥♥ ◄◄ ► ► 1/17♥♥◄ ► IIT Bombay ICA 2010 : 20th Int. Congress.
♥♥♥♥ 1. Intro. 2. VTS Var.. 3. Method 4. Results 5. Concl. ♠♠ ◄◄ ►► 1/181. Intro.2. VTS Var..3. Method4. Results5. Concl ♠♠◄◄►► IIT Bombay NCC 2011 : 17.
1 Audio Compression. 2 Digital Audio  Human auditory system is much more sensitive to quality degradation then is the human visual system  redundancy.
Studies of Information Coding in the Auditory Nerve Laurel H. Carney Syracuse University Institute for Sensory Research Departments of Biomedical & Chemical.
Pure Tone Audiometry most commonly used test for evaluating auditory sensitivity delivered primarily through air conduction and bone conduction displayed.
Chapter 7: Loudness and Pitch. Loudness (1) Auditory Sensitivity: Minimum audible pressure (MAP) and Minimum audible field (MAF) Equal loudness contours.
Sounds in a reverberant room can interfere with the direct sound source. The normal hearing (NH) auditory system has a mechanism by which the echoes, or.
Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.
Dynamic Aspects of the Cocktail Party Listening Problem Douglas S. Brungart Air Force Research Laboratory.
Applied Psychoacoustics Lecture 3: Masking Jonas Braasch.
BA , 1 Basic Frequency Analysis of Sound Contents: Frequency and Wavelength Frequency Analysis Perception of Sound.
Hearing Research Center
Chapter 7 Finite Impulse Response(FIR) Filter Design
SOUND PRESSURE, POWER AND LOUDNESS MUSICAL ACOUSTICS Science of Sound Chapter 6.
P. N. Kulkarni, P. C. Pandey, and D. S. Jangamashetti / DSP 2009, Santorini, 5-7 July DSP 2009 (Santorini, Greece. 5-7 July 2009), Session: S4P,
IIT Bombay {pcpandey,   Intro. Proc. Schemes Evaluation Results Conclusion Intro. Proc. Schemes Evaluation Results Conclusion.
Laboratory for Experimental ORL K.U.Leuven, Belgium Dept. of Electrotechn. Eng. ESAT/SISTA K.U.Leuven, Belgium Combining noise reduction and binaural cue.
EE Dept., IIT Bombay P. C. Pandey, "Signal processing for persons with sensorineural hearing loss: Challenges and some solutions,”
EE Dept., IIT Bombay Part B Sliding-band Dynamic Range Compression (N. Tiwari & P. C. Pandey, NCC 2014) P. C. Pandey, "Signal processing.
IIT Bombay 17 th National Conference on Communications, Jan. 2011, Bangalore, India Sp Pr. 1, P3 1/21 Detection of Burst Onset Landmarks in Speech.
A. R. Jayan, P. C. Pandey, EE Dept., IIT Bombay 1 Abstract Perception of speech under adverse listening conditions may be improved by processing it to.
Fletcher’s band-widening experiment (1940)
SOUND PRESSURE, POWER AND LOUDNESS
EE Dept., IIT Bombay CEP-cum-TEQUIP-KITE Course “Digital Signal Processing”, IIT Bombay, 2–6 November 2015, Course Coordinator:
Fletcher’s band-widening experiment (1940) Present a pure tone in the presence of a broadband noise. Present a pure tone in the presence of a broadband.
SPATIAL HEARING Ability to locate the direction of a sound. Ability to locate the direction of a sound. Localization: In free field Localization: In free.
Professor A G Constantinides 1 Digital Filter Specifications We discuss in this course only the magnitude approximation problem There are four basic types.
Saketh Sharma, Nitya Tiwari, & Prem C. Pandey
Speech Enhancement Algorithm for Digital Hearing Aids
Speech and Singing Voice Enhancement via DNN
Auditory Localization in Rooms: Acoustic Analysis and Behavior
Fletcher’s band-widening experiment (1940)
PSYCHOACOUSTICS A branch of psychophysics
Precedence-based speech segregation in a virtual auditory environment
The influence of hearing loss and age on sensitivity to temporal fine structure Brian C.J. Moore Department of Experimental Psychology, University of Cambridge,
A Smartphone App-Based
Quadrature-Mirror Filter Bank
Chapter 7 Finite Impulse Response(FIR) Filter Design
Govt. Polytechnic Dhangar(Fatehabad)
Chapter 7 Finite Impulse Response(FIR) Filter Design
Presentation transcript:

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 1/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay ICA 2010 : 20th Int. Congress on Acoustics, August 2010, Sydney, Australia [Tues, 24thAug, R.201, Speech Perception 1, 08:20] Study of Perceptual Balance for Designing Comb Filters for Binaural Dichotic Presentation P. N. Kulkarni P. C. Pandey D. S. Jangamashetti IIT Bombay, India

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 2/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay OUTLINE 1Introduction 2Loudness of binaural presentation 3Methodology 4Results & discussion 5Conclusions

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 3/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay 1 INTRODUCTION Binaural dichotic presentation by spectral splitting, using a pair of complementary comb filters, to reduce the effect of increased spectral masking in sensorineural hearing loss Intro.1/2 Spectral components of the speech signal in the alternate bands presented to the left and the right ears, and those in the transition bands presented to both the ears.

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 4/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Comb filter responses ● Linear phase response. ● Magnitude responses selected for band separation and perceptual balance of spectral components ▪ Low pass-band ripple, large stop-band attenuation. ▪ Perceived loudness for spectral components in the transition bands should be the same as those in pass bands. ● Mixed results in earlier studies: from no advantage to improvements corresponding to SNR advantage of 2 – 9 dB. Variation in the results may be attributed to the different magnitude responses of the comb filters in different studies. Intro. 2/2

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 5/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay 2 LOUDNESS OF BINAURAL PRESENTATION Some earlier studies Scharf (1968). Binaural level difference for equal loudness (BLDEL): 5 dB at low presentation levels, 7 dB at moderate and 6 dB at high presentation levels. Marks (1978). Binaural summation of loudness (0.1, 0.4, 1 kHz): linear additivity of the numerical responses for loudness. BLDEL: 5 – 7 dB. Hall & Harvey (1985). BLDEL (2 kHz tone, 70 and 80 dB SPL): dB for h.i. S’s, 8–9 dB for n.h. S’s. BLDEL(2 kHz tone, 90 dB SPL): 9 dB for both groups. Hawkins et al. (1987). BLDEL (4 kHz, MCL) 5 – 12 dB for both n.h. & h.i. S’s. Zwicker and Henning (1991). BLDEL (250 Hz, 710 Hz, 2 kHz): 10 dB. Cheeran (2005): BLDEL (0.25, 1, 2, 4 kHz, /a/, 85 dB SPL): 4 – 12 dB. Whilby et al. (2006): for 1 kHz pure tone, BLDEL (1 kHz): 2 – 15 dB for n.h. S’s, and 1.5 – 12 dB for h.i. S’s. Loudness1/2

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 6/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Objective of the present study To find the relation between comb filter gains for perceptually balanced loudness of spectral components. Investigations ▪ Perceptual balance in binaural hearing: relation between signal amplitudes presented to the the left and right ears to evoke the same loudness as monaural presentation. ▪ Comparison of filter responses used in the earlier studies. ▪ Design of perceptually balanced comb filter pair based on critical bandwidth, and evaluation by conducting listening tests on n.h. S’s (in noise) and h.i. S’s (in quiet). Loudness 2/2

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 7/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay 3 METHODOLOGY Listening tests Monaural vs. binaural loudness comparison (L, E, H), using 3I - 3AFC paradigm ▪ Presentation: ref. (mono) –– test (binaural) – ref. (mono), 0.5 s silence separation. ▪ Scaling factors α and β selected randomly over 0 to 1 in steps of 0.1. ▪ Gain compensation for the imbalance in the headphone responses. Method.1/2

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 8/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Experiment I 0.25, 0.5, 1, 2 kHz tones, MCL, 8 n.h. S’s No. of presentations/subject = 484 (4 test frequencies × 11 values of α × 11 values of β) Experiment II 0.5 kHz tone, MCL – 6 dB, MCL, MCL + 6 dB, 6 n.h. S’s No. of presentations/subject = 363 (3 presentation levels × 11 values of α × 11 values of β) Method.2/2

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 9/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay 4 RESULTS Exp. I (different test tones, MCL, 8 n.h. S’s) Approx. linear relation between the scaling factors Results 1/6

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 10/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Exp. II (500 Hz, 3 present. levels, 6 n.h. S’s) Results 2/6 Approx. linear relation between the scaling factors

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 11/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Shifted curves, (Marks,1978) Results 3/6 Relation on dB scale (all test tones, presentation levels)

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 12/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Monaural vs. binaural loudness match ▪ Binaural loudness ≈ linear sum of left and right ear loudness ▪ Loudness  (amplitude) p  Monaural vs binaural loudness match: Plot of error in β (estimated – observed) vs. p Min. error for p ≈ 1  Filter responses should be complementary on a linear scale. Results 4/6

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 13/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Design of comb filter pair Critical bandwidth (CB) based comb filter pair, designed as 512-coeff. linear phase FIR filters, using freq. sampling technique (S.R. = 10 kHz, pass band ripple 30 dB). Comparison of filter responses ACB: CB based filters with complementary gains CHE: Cheeran & Pandey (2004) LUN: Lunner et al. (1993) LYR: Lyregaard (1982) Results 5/6

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 14/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay Evaluation by listening tests Consonant recognition using modified rhyme test (MRT)  6 n.h. S’s in the presence of broad-band masking noise: SNR advantage of 12 dB at 75 % recognition score.  11 S’s with moderate bilateral sensorineural loss: score improvement of 14–31 %.  Reduction in response time 0.04 – 0.33 s for n.h. S’s 0.04 – 0.57 s for h.i. S’s. Results 6/6

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 15/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay 5 CONCLUSIONS ▪ Constant sum of the amplitudes of the left and right ear tones resulted in loudness match in binaural presentation. ▪ For perceptually balanced dichotic presentation, the magnitude responses of the comb filters should be approximately complementary on a linear scale. ▪ Magnitude responses of the filters used in earlier studies exhibited a large deviation from the condition of perceptual balance. ▪ Evaluation of critical band based comb filters designed with perceptually balanced responses, by conducting MRT, resulted in a significant improvement in consonant recognition and a reduction in response time. Concl. 1/1

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 16/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay THANK YOU

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 17/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay P. N. Kulkarni, P. C. Pandey, D. S. Jangamashetti, “Study of perceptual balance for designing comb filters for binaural dichotic presentation”, Proc. 20th International Congress on Acoustics ( ICA 2010), August 2010, Sydney, Australia. Abstract -- Earlier studies on binaural dichotic presentation by spectral splitting of speech signal using a pair of complementary comb filters, for improving speech perception by persons with moderate bilateral sensorineural hearing loss, have shown mixed results: from no advantage to improvements in recognition scores corresponding to an SNR advantage of dB. The filters used in these studies had different bandwidths and realizations. For an optimal performance of the scheme, the perceived loudness of different spectral components in the speech signal should be balanced, especially for components in transition bands which get presented to both the ears. For selecting magnitude responses of such filters, we have investigated the relationship between the signal amplitudes for binaural presentation of a tone to evoke the same loudness as that of monaural presentation. Listening tests were conducted, on eight normal-hearing subjects, for comparing the perceived loudness of monaural presentations to that of the binaural presentation with different combination of amplitudes for the tones presented to the left and right ears, at 250 Hz, 500 Hz, 1 kHz, and 2 kHz. The sum of the amplitudes of the left and right tones in binaural presentation being equal to that of the monaural tone resulted in monaural-binaural loudness match, indicating that the magnitude response of the comb filters used for dichotic presentation should be complementary on a linear scale. An analysis of the magnitude responses of the comb filters used in earlier studies showed large deviations from the perceptual balance requirement, and those with smaller deviations were more effective in improving speech perception. A pair of comb filters, based on auditory critical bandwidths and magnitude responses closely satisfying the requirement for perceptual balance, was designed as 512-coefficient linear phase FIR filters for sampling frequency of 10 kHz. Listening tests on six normal-hearing subjects showed improvements in the consonant recognition scores corresponding to an SNR advantage of approximately 12 dB. Tests using 11 subjects with moderate bilateral sensorineural hearing loss showed an improvement in the recognition score in the range %. Thus the investigations showed that binaural dichotic presentation using comb filters designed for perceptual balance resulted in better speech perception.

♠♠♠♠ 1Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄◄ ► ► 18/161Intro 2.Loudness 3.Method. 4.Results 5.Concl. ♦♦ ◄ ► IIT Bombay REFERENCES [1] P. E. Lyregaard, “Frequency selectivity and speech intelligibility in noise,” Scand. Audiol. Suppl. 15, 113 – 122 (1982). [2] T. Lunner, S. Arlinger, and J. Hellgren, “8-channel digital filter bank for hearing aid use: preliminary results in monaural, diotic, and dichotic modes,” Scand. Audiol. Suppl. 38, 75 – 81 (1993). [3] D. S. Chaudhari and P. C. Pandey, “Dichotic presentation of speech signal using critical filter band for bilateral sensorineural hearing impairment,” Proc. 16th Int. Congress Acoust. (ICA), Seattle, Washington (1998). [4] A. N. Cheeran and P. C. Pandey, “Evaluation of speech processing schemes using binaural dichotic presentation to reduce the effect of masking in hearing-impaired listeners,” Proc. 18th Int. Congress Acoust. (ICA), Kyoto, Japan, II, 1523 – 1526 (2004). [5] A. Murase, F. Nakajima, S. Sakamoto, Y. Suzuki, and T. Kawase, “Effect and sound localization with dichoticlistening hearing aids,” Proc. 18th Int. Congress Acoust. (ICA), Kyoto, Japan, II-1519 – 1522, [6] P. N. Kulkarni, P. C. Pandey, and D. S. Jangamashetti, “Perceptually balanced filter response for binaural dichotic presentation to reduce the effect of spectral masking,” (abstract) J. Acoust. Soc. Am. 120, 3253 (2006). [7] B. Scharf, “Binaural loudness summation as a function of bandwidth,” Proc. 6th Int. Congress Acoust. (ICA), Tokyo. 25 – 28, [8] B. Scharf, “Dichotic summation of loudness,” J. Acoust. Soc. Am. 45, 1193 – 1205 (1969). [9] J. H. Hall, and A. D. Harvey, “Diotic loudness summation in normal and impaired hearing,” J. Speech Hear. Res. 28, 445 – 448 (1985). [10] D. B. Hawkins, R. A. Prosek, B. E. Walden, and A. A. Montgomery, “Binaural loudness summation in hearing impaired, ” J. Speech Hear. Res. 30, 37 – 43 (1987). [11] E. Zwicker, and G. B. Henning, “On the effect of interaural phase differences on loudness,” Hearing Research. 53, 141 – 152 (1991). [12] A. N. Cheeran, Speech processing with dichotic presentation for binaural hearing aids for moderate bilateral sensorineural loss, Ph.D. Thesis, School of Biosciences and Bioengineering, Indian Institute of Technology Bombay, India, [13] S. Whilby, M. Florentine, E. Wagner, and J. Marozeau, “Monaural and binaural loudness of 5 and 200 ms tones in normal and impaired hearing,” J. Acoust. Soc. Am. 119, 3931 – 3939 (2006). [14] L. E. Marks, “Binaural summation of the loudness of pure tones,” J. Acoust. Soc. Am. 64, 107 – 113 (1978). [15] S. S. Stevens, “The direct estimation of sensory magnitudes- loudness,” Am. J. Psychol. 69, 1 – 15 (1956). [16] G. S. Reynolds and S. S. Stevens, “Binaural summation of loudness,” J. Acoust. Soc. Am. 32, 1337 – 1344 (1960). [17] J. C. Stevens, and M. Guirao, “Individual loudness functions,” J. Acoust. Soc. Am. 36, 2210 – 2213 (1964). [18] B. Scharf, and D. Fishken, “Binaural summation of loudness: Reconsidered,” J. Exp. Psychol. 86, 374 – 379 (1970). [19] H. Fletcher, and W. A. Munson, “Loudness, its definition, measurement and calculation,” J. Acoust. Soc. Am. 5, 82–108 (1933). [20] R. P. Hellman and J. J. Zwislocki “Monaural loudness summation at 1000 cps and interaural summation,” J. Acoust. Soc. Am. 35, 856 – 865 (1963). [21] R. W. L. Kortekaas and A. Kohlrausch “Psychoacoustical evaluation of PSOLA II. Ddouble-formant stimuli and the role of vocal perturbation,” J. Acoust. Soc. Am. 105, (1999).