Papers with Speech Recognition
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI (2025.coling-industry)
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Yuya Asano, Sabit Hassan, Paras Sharma, Anthony B. Sicilia, Katherine Atwell, Diane Litman, Malihe Alikhani
| Challenge: | Existing ASR correction methods rely on prior user data or named entities . Existing methods based on prior data are not available for goal-oriented dialogues . |
| Approach: | They propose a method that integrates contextual information from the dialogue states of a goal-oriented conversational AI and its tasks into a large language model. |
| Outcome: | The proposed method improves recall and F1 of correction by 34% and 16% while maintaining precision and false positive rate. |
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation (2020.lrec-1)
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| Challenge: | ATC communications are a challenging domain for automatic speech recognition (ASR) due to the time-sensitive nature of their task, annotators must have prior experience with ATC communication. |
| Approach: | They propose a tool for the transcription and semantic annotation of air traffic communications. |
| Outcome: | The proposed tool can annotate four times as many utterances in a single time. |