Link: https://speech-to-text-demo.ng.bluemi...
In this video will we go through how to automatically transcribe audio and video files for free.
The IBM Watson Speech to Text service uses speech recognition capabilities to convert Arabic, English, Spanish, French, Brazilian Portuguese, Japanese, Korean, German, and Mandarin speech into text.
This is an easy process but the output transcript depends on the accent and quality of the audio.
Word alternatives
The word alternatives feature (also known as Confusion Networks) reports hypotheses for acoustically similar alternatives for words of the input audio. For instance, the word Austin might be the best hypothesis for a word from the audio. But the word Boston is another possible hypothesis in the same time interval. Hypotheses share a common start and end time but have different spellings and usually different confidence scores.
Keyword spotting
The keyword spotting feature detects specified strings in a transcript. The service can spot the same keyword multiple times and report each occurrence. The service spots keywords only in the final results, not in interim results. By default, the service does no keyword spotting.
Speaker labels
Speaker labels identify which individuals spoke which words in a multi-participant exchange. (Labeling who spoke and when is sometimes referred to as speaker diarization.) You can use the information to develop a person-by-person transcript of an audio stream, such as contact to a call center. Or you can use it to animate an exchange with a conversational robot or avatar. For best performance, use audio that is at least a minute long.
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