Real-time captioning provides deaf and hard of hearing people immediate access to spoken
language and enables participation in dialogue with others. Low latency is critical because it …

Humans have always attempted to correspond with objects in a natural language.
Communications have been the essential feature of human life, a powerful tool for sharing …

Real-time captioning enables deaf and hard of hearing (DHH) people to follow classroom
lectures and other aural speech by converting it into visual text with less than a five second …

Background: The computer assisted speech recognition system enabling voice recognition
for understanding the spoken words using sound digitization is extensively being used in the …

Deaf and hard of hearing individuals need accommodations that transform aural to visual
information, such as captions that are generated in real-time to enhance their access to …

Approaches for real-time captioning of speech are either expensive (professional
stenographers) or error-prone (automatic speech recognition). As an alternative approach …

We report insights from translating Spanish conversational telephone speech into English
text by cascading an automatic speech recognition (ASR) system with a statistical machine …

Real-time transcription has been shown to be valuable in facilitating non-native speakers'
comprehension in real-time communication. Automated speech recognition (ASR) …

We performed an empirical study to understand the relative contributions of real-time
transcription to a non-native speaker's comprehension in audio/video meetings. 48 …

Transformer models have accelerated the field of speech recognition; deriving a low word
error rate (WER) is demonstrably achievable under varying conditions. However, most ASR …