This study examined the subjective benefit obtained from automatically generated captions during telephone-speech comprehension in the presence of babble noise. Short stories were presented by telephone either with or without captions that were generated offline by an automatic speech recognition (ASR) system. To simulate online ASR, the word accuracy (WA) level of the captions was 60% or 70% and the text was presented delayed to the speech. After each test, the hearing impaired participants (n = 20) completed the NASA-Task Load Index and several rating scales evaluating the support from the captions. Participants indicated that using the erroneous text in speech comprehension was difficult and the reported task load did not differ between ...
Objective: The aim of the current study was to examine whether partly incorrect subtitles that are a...
Augmentative communicators are perceived to have difficulty with reading and writing. This research ...
In this paper, we describe a tool that facilitates crowdsourcing correction of speech recognition ca...
This study examined the subjective benefit obtained from automatically generated captions during tel...
Purpose: Automatic speech recognition (ASR) is commonly used to produce telephone captions to provid...
OBJECTIVES: The aim of this study was to evaluate the benefit that listeners obtain from visually pr...
Many companies implemented remote work procedures during the pandemic and for many organizations vid...
The goal of this study was to determine if real-time captions (RTC) benefit both hearing and deaf st...
We report on results of two experiments designed to compare subjects ’ ability to extract informatio...
Real-time captioning enables deaf and hard of hearing (DHH) people to follow classroom lectures and ...
Deaf and hard of hearing people can find it difficult to follow speech through hearing alone or to t...
Closed Captioning (CC) was designed to serve Deaf and Hard of Hearing viewers, but the quality of CC...
Recent studies into the evaluation of automatic speech recognition for its quality of output in the ...
The aim of the study was to propose the Automatic Speech Recognition (ASR) technology as a means of ...
Caption rate and text reduction are factors that appear to affect the comprehension of captions by p...
Objective: The aim of the current study was to examine whether partly incorrect subtitles that are a...
Augmentative communicators are perceived to have difficulty with reading and writing. This research ...
In this paper, we describe a tool that facilitates crowdsourcing correction of speech recognition ca...
This study examined the subjective benefit obtained from automatically generated captions during tel...
Purpose: Automatic speech recognition (ASR) is commonly used to produce telephone captions to provid...
OBJECTIVES: The aim of this study was to evaluate the benefit that listeners obtain from visually pr...
Many companies implemented remote work procedures during the pandemic and for many organizations vid...
The goal of this study was to determine if real-time captions (RTC) benefit both hearing and deaf st...
We report on results of two experiments designed to compare subjects ’ ability to extract informatio...
Real-time captioning enables deaf and hard of hearing (DHH) people to follow classroom lectures and ...
Deaf and hard of hearing people can find it difficult to follow speech through hearing alone or to t...
Closed Captioning (CC) was designed to serve Deaf and Hard of Hearing viewers, but the quality of CC...
Recent studies into the evaluation of automatic speech recognition for its quality of output in the ...
The aim of the study was to propose the Automatic Speech Recognition (ASR) technology as a means of ...
Caption rate and text reduction are factors that appear to affect the comprehension of captions by p...
Objective: The aim of the current study was to examine whether partly incorrect subtitles that are a...
Augmentative communicators are perceived to have difficulty with reading and writing. This research ...
In this paper, we describe a tool that facilitates crowdsourcing correction of speech recognition ca...