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Fastcorrect: Fast error correction with edit alignment for automatic speech recognition
Error correction techniques have been used to refine the output sentences from automatic
speech recognition (ASR) models and achieve a lower word error rate (WER) than original …
speech recognition (ASR) models and achieve a lower word error rate (WER) than original …
Generative speech recognition error correction with large language models and task-activating prompting
We explore the ability of large language models (LLMs) to act as speech recognition post-
processors that perform rescoring and error correction. Our first focus is on instruction …
processors that perform rescoring and error correction. Our first focus is on instruction …
Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation
Dictation enables efficient text input on mobile devices. However, writing with speech can
produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. This …
produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. This …
TemplateGEC: Improving grammatical error correction with detection template
Grammatical error correction (GEC) can be divided into sequence-to-edit (Seq2Edit) and
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …
sequence-to-sequence (Seq2Seq) frameworks, both of which have their pros and cons. To …
[HTML][HTML] Extracting medical information from free-text and unstructured patient-generated health data using natural language processing methods: feasibility study with …
Background Patient-generated health data (PGHD) captured via smart devices or digital
health technologies can reflect an individual health journey. PGHD enables tracking and …
health technologies can reflect an individual health journey. PGHD enables tracking and …
The impact of alcohol on affiliative verbal behavior: A systematic review and meta‐analysis
Background Language is a fundamental aspect of human social behavior that is linked to
many rewarding social experiences, such as social bonding. Potential effects of alcohol on …
many rewarding social experiences, such as social bonding. Potential effects of alcohol on …
Automated generation of clinical reports using sensing technologies with deep learning techniques
This study presents a pioneering approach that leverages advanced sensing technologies
and data processing techniques to enhance the process of clinical documentation …
and data processing techniques to enhance the process of clinical documentation …
Softcorrect: Error correction with soft detection for automatic speech recognition
Error correction in automatic speech recognition (ASR) aims to correct those incorrect words
in sentences generated by ASR models. Since recent ASR models usually have low word …
in sentences generated by ASR models. Since recent ASR models usually have low word …
BTS: Back TranScription for speech-to-text post-processor using text-to-speech-to-text
With the growing popularity of smart speakers, such as Amazon Alexa, speech is becoming
one of the most important modes of human-computer interaction. Automatic speech …
one of the most important modes of human-computer interaction. Automatic speech …
Neural inverse text normalization
While there have been several contributions exploring state of the art techniques for text
normalization, the problem of inverse text normalization (ITN) remains relatively unexplored …
normalization, the problem of inverse text normalization (ITN) remains relatively unexplored …