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Key words: auditory perception, hearing loss, speech perception, word recognition in multitalker babble.
Abbreviations: ANOVA = analysis of variance, HL = hearing loss, NU 6 = Northwestern University Auditory Test No. This material was based on work supported by a multicenter merit review (C00-1892RA) from the Rehabilitation Research and Development Service to the second author. Patients with hearing loss often complain that they can hear but cannot understand speech, especially in the presence of background noise [1-11] Carhart and Tillman and later Plomp and Duquesnoy emphasized that listeners with peripheral sensorineural hearing loss are most handicapped when listening in the presence of background noise [2,12].
The test instrument described was designed specifically as a component of the auditory evaluation protocol for patients with hearing loss included in a Department of Veterans Affairs (VA) multicenter project [15]. As a means of evaluating speech understanding in background noise for individuals with sensorineural hearing loss, a first approximation of a test instrument was developed in a series of earlier studies [16-18]. 2.Multitalker babble was selected as the competing background noise because multitalker babble is the most common environmental noise encountered by listeners in everyday life and because babble is more detrimental to speech perception than are other types of competition [21]. 3.Because background noises are maintained at fairly constant levels from one setting to the next, the level of the multitalker babble was fixed and the level of the speech signal varied.
In the development of the words in multitalker babble, pilot data from a larger project revealed that performance on a given word was different in different segments of babble [24]. This study established normative data for the target words used in the multitalker babble paradigm that was incorporated into the multicenter study. The two randomizations of the word lists in multitalker babble were recorded on an audio compact disc (Matshita, Model UJDA710) along with Lists 1 and 2 of the NU 6 in quiet. The mean percent correct data (and standard deviations [SDs]) for Lists 1 and 2 of NU 6 presented in quiet are listed in Table 1. Means and SDs for percent correct word recognition on Lists 1 and 2 of NU 6 in quiet at 60 dB and 80 dB HL.
Percent correct recognition for 10 most often incorrect words on Lists 1 and 2 of NU 6 for listeners with normal hearing and for listeners with hearing loss.
The mean percents correct for the words in multitalker babble from the two groups on the two trials are listed in Table 3. You will receive an email whenever this article is corrected, updated, or cited in the literature.
The Rehabilitation Research and Development Service, Department of Veterans Affairs supported this work through a Merit Review, the Auditory and Vestibular Dysfunction Research Enhancement Award Program (REAP), and a Senior Research Career Scientist award to Richard H.
PurposeThe purpose of this study was to examine in listeners with normal hearing and listeners with sensorineural hearing loss the within- and between-group differences obtained with 4 commonly available speech-in-noise protocols.MethodRecognition performances by 24 listeners with normal hearing and 72 listeners with sensorineural hearing loss were compared for 4 speech-in-noise protocols that varied with respect to the amount of contextual cues conveyed in the target signal.


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Du?i day, chung toi xin chia s? cau chuy?n c?a Mary Beth Napoli, co da l?a ch?n c?y ghep ?c tai MED-EL sau hang lo?t ca ph?u thu?t tai va xuong hoa ?c tai.
Co m?t cau chuy?n c?a chung toi, v? m?t di?u k? di?u ma ong gia Noel danh cho be Le Th? M? H?ng trong ngay giang sinh nam nay! Toi b? m?t thinh l?c d?t ng?t luc toi dang la sinh vien nam nh?t c?a tru?ng Cao d?ng cho d?n nay da du?c 2 nam.
MED-EL hearLIFE luon d?ng hanh cung h?i ph? huynh tr? khi?m thinh va c?ng d?ng khi?m thinh.
V? co b?n, co 3 d?ng chinh c?a m?t thinh l?c: m?t thinh l?c ti?p nh?n, m?t thinh l?c d?n truy?n, va m?t thinh l?c h?n h?p.
B?n la giao vien va b?n mu?n du?c lam vi?c trong m?t moi tru?ng nang d?ng, chuyen nghi?p phu h?p v?i kh? nang c?a minh. Word recognition in quiet and in multitalker babble was measured on 24 listeners with normal hearing and 24 listeners with sensorineural hearing loss. The first author is a senior research career scientist sponsored by the Rehabilitation Research and Development Service, Department of Veterans Affairs.
In routine clinical practice, the ability of patients to understand speech in a noisy environment is not typically assessed [13,14].
This project measured the effects of audiological intervention on communication function and health-related quality of life as measured by selected generic and disease-specific outcome measures. The methods and procedures associated with the development of the test materials used in the current study are described in detail elsewhere [19].
6 (NU 6) monosyllabic materials recorded on a disk by a VA female speaker were selected, thereby providing a measure of speech understanding in both quiet and background noise using the same speaker and speaking the same words [20]. The multitalker babble, which was recorded by Causey in 1988,* consists of three female and three male speakers talking simultaneously about various topics with none of the conversations intelligible [22]. To reduce performance variability on the words in babble, we fixed the temporal relationship between the target word and the multitalker babble segment for that word. The subjects with hearing loss had (1) word-recognition scores in quiet of 76 percent correct at 50 dB HL, (2) pure-tone thresholds that were symmetrical (±10 dB), and (3) ipsilateral acoustic reflexes at 500, 1,000, and 2,000 Hz.
If you do not have an ASHA login, you may register with us for free by creating a new account. Toi bi?t co r?t nhi?u cau h?i cho l?n ch?nh may d?u tien, vi v?y toi mu?n cung c?p cho b?n m?t s? thong tin, th?c hi?n t? nam d?u tien toi la chuyen gia thinh h?c.


This paper describes a prototype speech-in-noise paradigm in which word-recognition ability is measured in a background of multitalker babble.
Listeners with sensorineural hearing loss were included to ensure that the protocol would provide appropriate data for listeners with hearing loss. Cu?i cung co be da di d?n quy?t d?nh ph?u thu?t c?y ?c tai di?n t?, vi khong con l?a ch?n nao t?t hon khi mu?n l?y l?i am thanh cu?c s?ng. To produce the test lists, we shuffled and concatenated the babble segments containing the words. As expected, the intersubject SDs indicate greater variability among the listeners with hearing loss than among the listeners with normal hearing. Smith are supported by Research Career Development awards from the Rehabilitation Research and Development Service. To make the boundaries between babble segments acoustically and perceptually transparent, we edited the onsets and offsets of the waveforms at negative going zero crossings.
For both groups, the largest variability was on the dynamic segment of the psychometric function. An Evaluation of the BKB-SIN, HINT, QuickSIN, and WIN Materials on Listeners With Normal Hearing and Listeners With Hearing Loss.
Monica Mejia and Elizabeth Townsend are acknowledged for their contributions to the project.
Twenty-two of the twenty-four listeners with hearing loss had 50% correct points outside of the 90th percentile for listeners with normal hearing. Through a series of pilot studies, psychometric functions were developed for each of the 150 words in Lists 2, 3, and 4 of NU 6. Interestingly, the interword variability on the dynamic segment of the function was smaller for the listeners with hearing loss than for the listeners with normal hearing. In this manner, the listening task progressed from easy to difficult, thereby maximizing the effects, if any, of learning to listen in a background noise.
Burks, 2005), each of which used multitalker babble and a modified method of constants, as well as the Hearing in Noise Test (HINT; M.



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