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Ability to move fully trained STT models between separate instances (i.e. DEV vs. PROD or separate accounts)
Customers for best practice reasons keep environments separate (DEV vs. PROD) for security, performance, testing & availability of the model.
Training STT models can take hours to train.
Not utilizing fully trained models results in delay...
Improve API response structure for timestamps and word_confidence within STT SpeechRecognitionAlternative model
As part of the response from making a POST to the v1/recognize endpoint in the Speech to Text service, the user receives an array of "alternatives". Within these "alternatives" objects, there are two arrays called "word_confidence" and "transcrip...
Automatically detect the voice model to improve transcription in use cases where multiple speakers have different accents (e.g. US and UK on the same line) - similar to language detection in Watson Assistant.
Retreive sound file previously streamed to Watson Speech-to-Text
When working on improving our product, we'd like to capture field failures that could be used to train our custom speech-to-text model. We have a wake word (handled locally) and then we establish a connection to IBM Watson's Speech-to-Text servic...
In the Speech-To-Text service, improve that output generated by speaker_labels option.
I have a major call center use case that requires text transcription of 2 distinct voices, a call center rep. and a customer. I need to group the transcribed text by each of these 2 people. The speaker_labels feature returns a list of time ranges,...
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