1. Posters from the NSL lab include :

• Ripples in the Anterior Auditory Field and Inferior Colliculus of the Ferret, Depireux et al, ARO 1996 (pdf format)
• Representation of Complex Dynamic Spectra in Auditory Cortex, Simon et al, ISH 11 (pdf format)
• Neuronal correlates of Pitch in the Inferior Colliculus, Depireux et al, ARO 1997 (pdf format)
• Response-Field Dynamics in the Auditory Pathway, Depireux et al, CNS 1997 (pdf format)
• Representation of Comples Spectra in Auditory Cortex, Shamma et al, SFN 1997 (pdf format)
• Spectro-Temporal Methods in Primary Auditory Cortex, Klein et al, ARO 1998 (pdf format)
• A Dendritic Model of Coincidence Detection in the Avian Brainstem, Simon et al, CNS 1998 (pdf format)
• Representation of Dynamic Broadband Spectra in Auditory Cortex, Shamma et al, SFN 1998 (pdf format)
• Spectro-temporal Modulation Transfer Functions and Speech Intelligibility, Shamma et al, ARO 1999(pdf format)
• Biophysical Model of Coincidence Detection in single Nucleus Laminaris, Simon et al, ARO 1999(pdf format)
• Linear and Nonlinear Responses to Dynamic Broadband Spectra in Primary Auditoty Cortex, Klein et al,  ARO 1999 (pdf format)
• Spectro-Temporal Processing of Dynamic Broadband Sounds in Auditory Cortex, Shamma et al, IMA 1999 (pdf format)
• Neural Signal and Neural Noise in Primary Auditory Cortex, Klein et al, SFN 1999 (pdf format)
• Functional and Structural Implications of Non-Separability of Spectral and Temporal Responses in AI, Simon e al, ARO 2000 (pdf format)
• Neural Reponse Charateristics in Auditory Cortex of the awake Ferret, ARO 2001(pdf format)
• ARO-ICA 01(pdf format)
• Comparison of Response Characteristics in Auditory Cortex of the Awake and Anesthetized Ferret, Elhilali et al, ARO 2002 (pdf format)
• What does precise spiking in AI tell us about the structure of its Receptive Fields, Elhilali et al, ARO 2003  (pdf formart)
• Fusion of Harmonic Partials by Ferrets, Kalluri et al, ARO 2003 (pdf formart)

2. Papers from the NSL lab include (pdf format) :

• Comment on Theoretical Biology (1997)
• Spectro-Temporal Modulation Transfer Functions and Speech Intelligibility
• Auditory Cortical Spectral Shape Analysis in Analog VLSI
• A Neuromorphic Approach To The Analysis Of Monaural And Binaural Auditory Signals
• The Case of the Missing Pitch Templates : How Harmonic Templates Emerge in the Early Auditory System
• Measurement Of Head-Related Transfer Functions Based On The Empirical Transfer Function Estimates
• A Biologically Inspired, Learning, Sound Localization Algorithm
• Rapid Task Related Plasticity of SpectroTemporal Receptive Fields in Primary Auditory Cortex
• Dynamics of Precise Spike Timing in Primary Auditory Cortex, Mounya Elhilali et al, Journal of Neuroscience
• Fast and Robust Online Music Signal Separation, Yuan Qi, P. S. Krishnaprasad and Shihab Shamma, , ICA2000 Proceedings (Second international workshop on independent component analysis and blind signal separation, Helsinki, Finland, June 19-22, 2000) 
Here are some sounds associated with this paper : 
• Original Musical signal 1 
• Original Musical signal 2 
• Mixed signal 1 with noise 
• Mixed signal 2 with noise 
• Recovered signal 1 by the Entended Infomax algorithm 
• Recovered signal 2 by the Entended Infomax algorithm 
• Recovered signal 1 by the nonholonomic ICA algorithm 
• Recovered signal 2 by the nonholonomic ICA algorithm 
• Recovered signal 1 by the Subband-based ICA without denoising 
• Recovered signal 2 by the Subband-based ICA without denoising 
• Recovered signal 1 by the Subband-based ICA with denoising 
• Recovered signal 2 by the Subband-based ICA with denoising 
• Quadrant separability in Auditory Cortex
• Robust spectro-temporal reverse correlation for the auditory system: Optimizing stimulus design 
• The Synergy between speech production and perception . Below are 4 sound samples for Figure 8 of the paper: 
• Reconstructed Speech from Original spectrogram
• Reconstructed Speech from Synthesized spectogram
• Reconstructed Speech from Synthesized spectogram multiplying factor for parameter a:1.5
• Reconstructed Speech from Synthesized spectogram multiplying factor for parameter a:0.6
• Multiresolution Spectrotemporal Analysis of Complex Sounds
Following are the sounds associated with this paper 
Sounds for figure 8 of the paper: 
• Figure.8a: Original Speech, Reconstructed Speech
• Figure.8b: Original Speech, Reconstructed Speech

Sounds for Figure 9 of the paper:

• Original speech 
• Reconstructed speech from auditory spectrogram 
• Reconstructed speech from cortical representation 
• Reconstructed speech from magnitude cortical representation (direct-projection method)
• Reconstructed speech from magnitude cortical representation (filter-by-filter method)
• Spectrum Restoration from Multiscale Auditory Phase Singularities by Generalized Projections
Following are the sounds associated with this paper 
Sounds for figure 4 of the paper: 
• Original spectogram of word "away" 
• Reconstructed spectogram 
• Smoothed reconstructed spectogram 

3. Examples of sound morphing (all .au formats) :

The same but for a male voice. 
'She had your dark suit in greasy wash-water all year' (Male)

The first sentence is morphed progressively into the second (Female to Male). 
'She had your dark suit in greasy wash-water all year'

And now the second sentence is morphed into the first one (Male to Female). 
'She had your dark suit in greasy wash-water all year'

4. Word morphing :

• 'Document' (Male) to 'Document' (Female) 
• 'Document' (Female) to 'Document' (Male) 
• 'Shortage' (Male) to 'Document' (Female) 
• 'Document' (Female) to 'Shortage' (Male) 
• 'Document' (Male) to 'Shortage' (Male) 
• 'Shortage' (Male) to 'Document' (Male) 

5. Examples of sound distortions:

• Reverberation:
• sound1 (t=0.2 sec)
• sound2 (t=0.5 sec)
• Phase Jitter
• sound1 (t=0.2)
• sound2 (t=0.5)
• Linear Phase Shift
• sound1 (t=0.5)
• sound2 (t=2)

6. Examples of TORCs:

TORC1:
Description: 
The component tones vary from 125 Hz to 4000Hz. The modulating ripples are upward moving.
 

TORC2:
Description: 
The component tones vary from 125 Hz to 4000Hz. The modulating ripples are downward moving.

TORC3:
Description: 
The component tones vary from 250 Hz to 8000Hz. The modulating ripples are downward moving. 

TORC4:
Description: 
The component tones vary from 500 Hz to 16000Hz. The modulating ripples are downward moving. 

HARMTORC1:
Description: 
The component tones vary from 125 Hz to 4000Hz. The modulating ripples have a frequency spacing of 50Hz. 

HARMTORC2:
Description: 
The component tones vary from 125 Hz to 4000Hz. The modulating ripples have a frequency spacing of 100Hz. 

7. Tools :

• NSL Tools Package

8. HRTF Database:

• A Database of the HRTF's of seven subjects (HRTF_pub_database.zip), short description of the files (readme.txt) and the associated paper "Measurement of HRTF's based on Empirical Transfer Function Estimates (grassi_ICAD2003.pdf)