Automatic Speech Recognition (ASR) is a subfield of computational linguistics that enables machines to recognise speech and convert the speech data into textual form.
In ASR, an audio file or speech spoken to a microphone is processed and converted to text, therefore it is also known as Speech-to-Text (STT). Then this text is fed to a Natural Language Processing/Understanding (NLP/NLU) to understand and extract key information (such as intentions, sentiments), and then appropriate action is taken. There are also stand-alone applications of ASR, e.g. transcribing dictation, or producing real-time subtitles for videos.
Our experiments with evaluating the Spoken Language Identification (SLID) capabilities of the Whisper ASR model and comparing it with CLSRIL-23
Do Voice Assistants truly offer benefits that make it worth integrating over a Voicebot? Well, read this blog post and find out for yourselves!