Background: The Revised Speech Perception in Noise Test (R-SPIN; Bilger, 1984b) is composed of 200 target words distributed as the last words in 200 low-predictability (LP) and 200 high-predictability (HP) sentences. Four list pairs, each consisting of two 50-sentence lists, were constructed with the target word in a LP and HP sentence. Traditionally the R-SPIN is presented at a signal-to-noise ratio (SNR, S/N) of 8 dB with the listener task to repeat the last word in the sentence. Purpose: The purpose was to determine the practicality of altering the R-SPIN format from a single SNR paradigm into a multiple SNR paradigm from which the 50% points for the HP and LP sentences can be calculated. Research Design: Three repeated measures experime...
Understanding speech in background noise is occasionally difficult for normal hearing listeners and ...
Besides the gold standard pure-tone audiometry, it is highly relevant to assess a person s supra-t...
Theoretical thesis.Bibliography: pages 52-55.1. Introduction -- 2. The hearing data -- 3. Modeling a...
Objective: The purpose was to determine if speech-recognition performances were the same when the sp...
Background: The Words-in-Noise Test (WIN) was developed as an instrument to quantify the ability of ...
Data from earlier studies that presented 70 words at 24 to 0 dB signal-to-babble (S/B) ratios indica...
Background: The Speech Recognition in Noise Test (SPRINT) is a word-recognition instrument that pres...
The speech reception threshold (SRT) is routinely measured in the laboratory to assess speech unders...
Sentence tests are routinely conducted in the laboratory and the clinic to assess the ability of a p...
Thesis (Ph.D.)--University of Washington, 2013Despite advances in hearing aid technology and careful...
OBJECTIVE: Recently, the digit triplet test was shown to be a sensitive speech-in-noise test for ear...
Purpose: To determine whether specific sentence recognition assessments were sensitive enough to ser...
Objective: The goal of this study was to design and develop an audiological test that provides an ec...
Purpose: This research aimed to increase the analogy between text reception threshold (TRT) and spee...
Background: In certain masking paradigms, the masker can have two components, energetic and informat...
Understanding speech in background noise is occasionally difficult for normal hearing listeners and ...
Besides the gold standard pure-tone audiometry, it is highly relevant to assess a person s supra-t...
Theoretical thesis.Bibliography: pages 52-55.1. Introduction -- 2. The hearing data -- 3. Modeling a...
Objective: The purpose was to determine if speech-recognition performances were the same when the sp...
Background: The Words-in-Noise Test (WIN) was developed as an instrument to quantify the ability of ...
Data from earlier studies that presented 70 words at 24 to 0 dB signal-to-babble (S/B) ratios indica...
Background: The Speech Recognition in Noise Test (SPRINT) is a word-recognition instrument that pres...
The speech reception threshold (SRT) is routinely measured in the laboratory to assess speech unders...
Sentence tests are routinely conducted in the laboratory and the clinic to assess the ability of a p...
Thesis (Ph.D.)--University of Washington, 2013Despite advances in hearing aid technology and careful...
OBJECTIVE: Recently, the digit triplet test was shown to be a sensitive speech-in-noise test for ear...
Purpose: To determine whether specific sentence recognition assessments were sensitive enough to ser...
Objective: The goal of this study was to design and develop an audiological test that provides an ec...
Purpose: This research aimed to increase the analogy between text reception threshold (TRT) and spee...
Background: In certain masking paradigms, the masker can have two components, energetic and informat...
Understanding speech in background noise is occasionally difficult for normal hearing listeners and ...
Besides the gold standard pure-tone audiometry, it is highly relevant to assess a person s supra-t...
Theoretical thesis.Bibliography: pages 52-55.1. Introduction -- 2. The hearing data -- 3. Modeling a...