The client is a tech company providing hearing solutions and assistive listening devices. One of these solutions helps students with dyslexia learn lecture material more effectively.
Fixed Price
Scrum
Software Engineer
Software QA Engineer
Project Manager
But the app had a bug—poor noise suppression. This issue caused problems with the quality of the recorded audio. To enable high-quality recording, the company turned to Softeq. Our task was to implement an effective audio-processing algorithm within the app.
It is an audio recording mobile application that allows the creation of audio files organized in a simple PC-style filing system for easy retrieval of recordings. The audio and bookmark files can be uploaded to a number of note-taking management programs for subsequent playback, editing and further study.
To achieve high quality of the recording, the Softeq team implemented custom regulators to compensate for noise distortions based on a special algorithm. It enables the app to assess the incoming sound properties and process it so that it corresponds to a more acceptable quality level by verifying the following parameters:
Technical Characteristics:
Functional Features:
The project has been delivered by the deadline allowing enough time for bug fixing and successful commercial launch of the application on Google Play and the App Store.