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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 service...
We'd like to use the text to speech service to control an animatronic. The animatronic has a mouth and needs to manipulate its lips and jaws as it's speaking and Amazon had phoneme and viseme support which is what we were using. However, we're swi...
Utterance segmentation made sensitive to speaker identity (features)
Utterance segmentation appears to be entirely independent of (the features used for) speaker labeling. Specifically, it was noticed that even though the speaker labeling correctly identifies that a new speaker (very clear because it goes from male...
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 delays ...
India is the 4th largest economy in the world with a population of 1.3 billion. Over 50% of the population speak & communicate in Hindi. While Watson is well regarded in the market, the lack of Hindi language support is hindering sales and whi...
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,...
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.
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