Objective The electronic medical records (EMRs) corpus for cerebral palsy rehabilitation and
its application in downstream tasks, such as named entity recognition (NER), requires further …

Recognition of Proper Names (PNs) in speech is important for content based indexing and
browsing of audio-video data. However, many PNs are Out-Of-Vocabulary (OOV) words for …

Spoken documents are audio signals and are thus not easily displayed on-screen and not
easily scanned and browsed by the user. It is therefore highly desirable to automatically …

Out-Of-Vocabulary (OOV) words missed by Large Vocabulary Continuous Speech
Recognition (LVCSR) systems can be recovered with the help of topic and semantic context …

Retrieving Proper Names (PNs) specific to an audio document can be useful for vocabulary
selection and OOV recovery in speech recognition, as well as in keyword spotting and audio …

Many Proper Names (PNs) are Out-Of-Vocabulary (OOV) words for speech recognition
systems used to process diachronic audio data. To help recovery of the PNs missed by the …

Named entity recognition (NER) for written documents has been studied intensively during
the past decades. However, NER for spoken texts is still at its early stage. There are several …

Spoken document retrieval will be very important in the future network era. In this paper, we
propose using a" dynamic key term lexicon" automatically extracted from the ever-changing …

Abstract Retrieving Proper Names (PNs) relevant to an audio document can improve speech
recognition and content based audio-video indexing. Latent Dirichlet Allocation (LDA) topic …

US10599954B2 - Method and apparatus of discovering bad case based on artificial intelligence,
device and storage medium - Google Patents US10599954B2 - Method and apparatus of …