This MLHub package provides a quick demonstration of the pre-built Speech to Text model provided through Azure's Cognitive Services. This service takes an audio signal and transcribes it to return the text.
An Azure subscription is required and a free Azure subscription allowing up to 5,000 transactions per month is available from https://azure.microsoft.com/free/. Once set up visit https://ms.portal.azure.com and Create a resource under AI and Machine Learning called Speech Services. Once created you can access the web API subscription key from the portal by visiting the resource and choosing the Keys link. The key will be prompted for in the demo.
Please note that this is closed source software which limits your freedoms and has no guarantee of ongoing availability.
Visit the github repository for more details: https://github.com/gjwgit/azspeech2txt
The Python code is based on the Azure Speech Services Quick Start for Python
- To install mlhub
$ pip3 install mlhub- To install and run the pre-built model:
$ ml install azspeech2txt
$ ml configure azspeech2txt
$ ml do azspeech2txt$ ml do azspeech2txt
==============
Speech to Text
==============
Welcome to a demo of the pre-built models for Speech to Text provided
through Azure's Cognitive Services. This cloud service accepts audio
and then converts that into text which it returns locally.
The following file has been found and is assumed to contain
an Azure Speech Services subscription key and region. We will load
the file and use this information.
/home/kt/.mlhub/azspeech2txt/private.py
Say something...
> Recognized: Welcome to a demo of the prebuilt models for speech to
> text provided through azure's cognitive services. This cloud service
> accepts audio and then converts that into text, which it returns locally.
Thank you for exploring the 'azspeech2txt' model.As you can see I read the first paragraph from the screen and the Azure Speech to Text service was quite accurate in its transcription. It is quite suitable, for example, to be used as a dictation tool.