Meanwhile, the error rate of AI transcription stands at 14%, even with a clear audio file. Human transcription can still create an accurate transcript from a file with loud background noises, such as machinery, people talking, background music, as human ears are more attuned to different external factors. Human transcription is not fully replaced by AI transcription for some good seasons, even the latter one is a lot more economical. It can provide real-time caption for live videos and webinars while transcribe instantly for phone calls and meetings. Yet AI-powered live transcription is capable of processing live audio and video for transcription and captioning.
#Ai audio transcription manual
Manual transcription solutions available today are for post-production and thus unsuitable for live events. It helps users in evaluating the sequence of events and weighing them according to the time-sensitive parameters. Timestamping is usually offered as an added advantage to an automated transcription. Instead of the cumbersome and time-consuming manual transcription process, it provides near-instant response even for a lengthy document such as political speech, lecture or podcast. The speed of AI transcription is definitely its key selling point. Examples include auto-captions on YouTube and talk-to-text on smartphones. It improves its accuracy constantly by continuous data feed. The machine interprets different sounds that make up human speech and match those sounds to the corresponding word in its extensive database in different languages.
Integrated with AI technology, AI transcription relies on automatic-speech-recognition machine to “listen in”, take the spoken word and translate it into text seamlessly. Text transcriptions allow viewers to read and fully comprehend audio in a text format. It provides word-for-word records of events such as meetings, virtual conference calls and academic research. Transcription is the process of converting speech in an audio or audio-visual file into written text.
By utilising AI transcription technology, the amount of time, energy and expertise required to transcript an audio material are now practically prohibitive. 23 December 2021 Posted by eliteasia Technology Transcription No CommentsĪrtificial intelligence has transformed numerous manual tasks into automated ones, and transcription process is one of the biggest beneficiaries.
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