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Sure, but best possible scenario you end up with a half-baked siri: interesting technology with gimmicky applications. Hardly a good use case to show case how M
by duaneb 11y ago
Sure, but best possible scenario you end up with a half-baked siri: interesting technology with gimmicky applications. Hardly a good use case to show case how ML can help a startup. The cost/benefit is huge for the general case using speech recognition.
- praccu 11y ago> 'There are a lot of problems in speech besides transcription. ' I'm trying to be vague because I don't want to violate NDAs and it's a pain to think up examples I'm not currently working on, but there are a lot of applications of machine learning to the _speech signal_ (rather than to the problem of speech to text; there are many other things you can predict) that are super interesting. Some examples are listed in the text I copied. > 'a half-baked siri' There are so many instances where speech-to-text is super useful for applications other than consumer facing CRUD apps. In a lot of varied industrial applications people are doing very cool things with speech; there are a lot of applications that need very targeted speech systems.
- duaneb 11y agoInteresting, sure. Useful or profitable is a separate point that needs a discrete argument. I'd argue it's still in the gimmick phase unless interface IS your product.