The WhisperX AI model has a broad range of use cases. Being an audio-to-text model, one of its primary uses would be in transcription services which can be used in different industries, pursuits, and professions. In a corporate environment, it can take audio recordings from meetings, dictations, interviews, conference calls, and turn them into written documents, helping businesses keep accurate, written records of their activities. The WhisperX AI model can also be used to create closed captions for videos and films which would improve accessibility for the hard-of-hearing and non-native speakers. With its ability to segregate the output by individual words and their corresponding timings, it can be very useful for language learning apps where users can look up the pronunciation and timing of individual words in a sentence. Other practical uses could be in voice-controlled assistants, or on platforms to conduct sentiment analysis from customer calls for businesses. Furthermore, it would be beneficial for people with disabilities, like visual impairment, or people who are not able to write manually.
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Summary of this model and related resources.
ASR with word alignment based on whisperx using whisper medium (769M)
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