speech recognition using transformer models
Speech recognition using transformer models refers to a technology that uses powerful mathematical models called transformer models to convert spoken language into written text accurately and efficiently. This approach leverages advanced machine learning techniques to analyze and understand the acoustic features of the speech signal, enabling accurate transcription of spoken words into textual format.
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Similar Concepts
- automatic speech recognition (asr)
- computational linguistics with transformer models
- deep learning for language processing
- deep learning models
- gpt (generative pre-trained transformers)
- gpt-3 (generative pre-trained transformer 3)
- image captioning using transformers
- masked language modeling
- named entity recognition using transformers
- natural language processing for robots
- recommender systems using transformers
- speech recognition
- speech technology
- text-to-speech synthesis
- voice recognition