Advanced Mac OS Speaker Detection App
Budget: $250 – $750 USD
I require the development of a Mac OS application, Python based.
I have a large collection of Mono, 24 bit, 48 kHz Wav files that contain one speaker.
In rare instances two or more speakers are heard, and I need those cases I need those files to be reported so that I can manually check them.
The application will ask the user to select a folder for detection.
That folder may contain folders within folders of wav files.
The report will be found in the selected folder.
The report can be "speakers = 1" or "speakers = 2 or more"
- A high detection accuracy, ideally over 95%, is paramount for this project.
Desired skills and experience:
- High proficiency in Mac OS & Python application development
- Demonstrable experience in speech recognition technology
- In-depth understanding of audio analysis algorithms
I want something quickly developed at a fixed price.
I have a large collection of Mono, 24 bit, 48 kHz Wav files that contain one speaker.
In rare instances two or more speakers are heard, and I need those cases I need those files to be reported so that I can manually check them.
The application will ask the user to select a folder for detection.
That folder may contain folders within folders of wav files.
The report will be found in the selected folder.
The report can be "speakers = 1" or "speakers = 2 or more"
- A high detection accuracy, ideally over 95%, is paramount for this project.
Desired skills and experience:
- High proficiency in Mac OS & Python application development
- Demonstrable experience in speech recognition technology
- In-depth understanding of audio analysis algorithms
I want something quickly developed at a fixed price.
Related categories:
Python
Mac OS
Automatic Speech Recognition
Artificial Neural Network
Recurrent Neural Network