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(Color online) Time domain illustrations, from top to bottom, of the basic types of lead/lag stimuli: 1-ms, 41-ms, and 200-ms noise burst, and an example of the diotically windowed noise burst, this one of 100-ms duration. Lead stimuli are represented in black. The 200- and 41-ms stimuli had a center frequency of 500 Hz with an 800-Hz bandwidth with 20-ms cos2 on- and off-ramps. The 1-ms duration stimuli were wideband (50–3950 Hz) <t>Gaussian</t> noises that were then rectangular windowed. The ITD, which was ±300 μs for all stimulus conditions, is the delay between the lead (or lag) in one ear and the lead (or lag) in the contralateral ear. The lead/lag delay is the time elapsed between the onset of the lead at one ear and the onset of lag at the other ear. For the diotically windowed stimuli (subscripted 20 D) presented in experiments 2.1 and 2.2, a 400-ms duration stimulus was created. Then, the compound lead/lag stimulus was multiplied by a temporally centered diotic window with 20-ms cos2 on- and off-ramps. Thick back envelopes indicate the window and hatched gray sections indicate the stimulus portion that was windowed out. This operation yielded a stimulus with a duration of 50–600 ms, depending on the condition, with diotic envelope onsets and offsets but the same ongoing temporal fine-structure relations that would occur in the “ongoing” stimulus portion of the standard long duration lead/lag pairs presented in the earlier experiments. See Table ​TableII for further details. Note that ITD and lead/lag delay are not drawn to scale. Also, the ITD was shorter than any stimulus, so the left and right ear signals temporally overlapped for each lead and lag left/right pair.
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(Color online) Time domain illustrations, from top to bottom, of the basic types of lead/lag stimuli: 1-ms, 41-ms, and 200-ms noise burst, and an example of the diotically windowed noise burst, this one of 100-ms duration. Lead stimuli are represented in black. The 200- and 41-ms stimuli had a center frequency of 500 Hz with an 800-Hz bandwidth with 20-ms cos2 on- and off-ramps. The 1-ms duration stimuli were wideband (50–3950 Hz) Gaussian noises that were then rectangular windowed. The ITD, which was ±300 μs for all stimulus conditions, is the delay between the lead (or lag) in one ear and the lead (or lag) in the contralateral ear. The lead/lag delay is the time elapsed between the onset of the lead at one ear and the onset of lag at the other ear. For the diotically windowed stimuli (subscripted 20 D) presented in experiments 2.1 and 2.2, a 400-ms duration stimulus was created. Then, the compound lead/lag stimulus was multiplied by a temporally centered diotic window with 20-ms cos2 on- and off-ramps. Thick back envelopes indicate the window and hatched gray sections indicate the stimulus portion that was windowed out. This operation yielded a stimulus with a duration of 50–600 ms, depending on the condition, with diotic envelope onsets and offsets but the same ongoing temporal fine-structure relations that would occur in the “ongoing” stimulus portion of the standard long duration lead/lag pairs presented in the earlier experiments. See Table ​TableII for further details. Note that ITD and lead/lag delay are not drawn to scale. Also, the ITD was shorter than any stimulus, so the left and right ear signals temporally overlapped for each lead and lag left/right pair.

Journal: The Journal of the Acoustical Society of America

Article Title: The impact of peripheral mechanisms on the precedence effect

doi: 10.1121/1.5116680

Figure Lengend Snippet: (Color online) Time domain illustrations, from top to bottom, of the basic types of lead/lag stimuli: 1-ms, 41-ms, and 200-ms noise burst, and an example of the diotically windowed noise burst, this one of 100-ms duration. Lead stimuli are represented in black. The 200- and 41-ms stimuli had a center frequency of 500 Hz with an 800-Hz bandwidth with 20-ms cos2 on- and off-ramps. The 1-ms duration stimuli were wideband (50–3950 Hz) Gaussian noises that were then rectangular windowed. The ITD, which was ±300 μs for all stimulus conditions, is the delay between the lead (or lag) in one ear and the lead (or lag) in the contralateral ear. The lead/lag delay is the time elapsed between the onset of the lead at one ear and the onset of lag at the other ear. For the diotically windowed stimuli (subscripted 20 D) presented in experiments 2.1 and 2.2, a 400-ms duration stimulus was created. Then, the compound lead/lag stimulus was multiplied by a temporally centered diotic window with 20-ms cos2 on- and off-ramps. Thick back envelopes indicate the window and hatched gray sections indicate the stimulus portion that was windowed out. This operation yielded a stimulus with a duration of 50–600 ms, depending on the condition, with diotic envelope onsets and offsets but the same ongoing temporal fine-structure relations that would occur in the “ongoing” stimulus portion of the standard long duration lead/lag pairs presented in the earlier experiments. See Table ​TableII for further details. Note that ITD and lead/lag delay are not drawn to scale. Also, the ITD was shorter than any stimulus, so the left and right ear signals temporally overlapped for each lead and lag left/right pair.

Article Snippet: The basis of all stimuli was a filtered Gaussian noise created in matlab ® .

Techniques:

The performance of 7 listeners for 800–Hz bandwidth 200–ms Gaussian noise bursts in the presence of one lag stimulus. Figure is otherwise read the same as previous data figures. Inset: Calculated broadband interaural level differences as a function of lead/lag delay.

Journal: The Journal of the Acoustical Society of America

Article Title: The impact of peripheral mechanisms on the precedence effect

doi: 10.1121/1.5116680

Figure Lengend Snippet: The performance of 7 listeners for 800–Hz bandwidth 200–ms Gaussian noise bursts in the presence of one lag stimulus. Figure is otherwise read the same as previous data figures. Inset: Calculated broadband interaural level differences as a function of lead/lag delay.

Article Snippet: The basis of all stimuli was a filtered Gaussian noise created in matlab ® .

Techniques: