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Afrispeech-200: Pan-african accented speech dataset for clinical and general domain asr
Africa has a very poor doctor-to-patient ratio. At very busy clinics, doctors could see 30+
patients per day—a heavy patient burden compared with developed countries—but …
patients per day—a heavy patient burden compared with developed countries—but …
Capitalization and punctuation restoration: a survey
Ensuring proper punctuation and letter casing is a key pre-processing step towards applying
complex natural language processing algorithms. This is especially significant for textual …
complex natural language processing algorithms. This is especially significant for textual …
Revolutionizing radiological analysis: The future of French language automatic speech recognition in healthcare
This study introduces a specialized Automatic Speech Recognition (ASR) system,
leveraging the Whisper Large-v2 model, specifically adapted for radiological applications in …
leveraging the Whisper Large-v2 model, specifically adapted for radiological applications in …
Listen, know and spell: Knowledge-infused subword modeling for improving asr performance of oov named entities
Automatic speech recognition (ASR) is increasingly being used in specialized domains such
as medical ASR and news transcription. Owing to the lack of high quality annotated speech …
as medical ASR and news transcription. Owing to the lack of high quality annotated speech …
Multimodal semi-supervised learning framework for punctuation prediction in conversational speech
In this work, we explore a multimodal semi-supervised learning approach for punctuation
prediction by learning representations from large amounts of unlabelled audio and text data …
prediction by learning representations from large amounts of unlabelled audio and text data …
Fullstop: Punctuation and segmentation prediction for dutch with transformers
When applying automated speech recognition (ASR) for Belgian Dutch, the output consists
of an unsegmented stream of words, without any punctuation. A next step is to perform …
of an unsegmented stream of words, without any punctuation. A next step is to perform …
Automatic speech recognition performance for digital scribes: a performance comparison between general-purpose and specialized models tuned for patient-clinician …
One promising solution to address physician data entry needs is through the development of
so-called “digital scribes,” or tools which aim to automate clinical documentation via …
so-called “digital scribes,” or tools which aim to automate clinical documentation via …
Multi-output RNN-T joint networks for multi-task learning of ASR and auxiliary tasks
We propose a multi-output joint network architecture for RNN-T transducer, for multi-task
modeling of ASR and auxiliary tasks that rely on ASR outputs. Each output of the joint …
modeling of ASR and auxiliary tasks that rely on ASR outputs. Each output of the joint …
Remember the context! asr slot error correction through memorization
Accurate recognition of slot values such as domain specific words or named entities by
automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue …
automatic speech recognition (ASR) systems forms the core of the Goal-oriented Dialogue …
Making punctuation restoration robust and fast with multi-task learning and knowledge distillation
In punctuation restoration, we try to recover the missing punctuation from automatic speech
recognition output to improve understandability. Currently, large pre-trained transformers …
recognition output to improve understandability. Currently, large pre-trained transformers …