We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Help IBM prioritize your ideas and requests
The IBM team may need your help to refine the ideas so they may ask for more information or feedback. The product management team will then decide if they can begin working on your idea. If they can start during the next development cycle, they will put the idea on the priority list. Each team at IBM works on a different schedule, where some ideas can be implemented right away, others may be placed on a different schedule.
Receive notification on the decision
Some ideas can be implemented at IBM, while others may not fit within the development plans for the product. In either case, the team will let you know as soon as possible. In some cases, we may be able to find alternatives for ideas which cannot be implemented in a reasonable time.
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 ...
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 "transcript...
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 service...
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,...
Do not place IBM confidential, company confidential, or personal information into any field.