"audio analysis" is a correct and usable phrase in written English.
It can be used to refer to a process of studying sound recordings in order to extract information or gain insight. For example, "We used audio analysis to better understand the frequency of birdsong in different habitats."
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In the postgraduate section, Sutherland was awarded first prize for his design and development of the intelligent audio analysis system.
They wrote the audio analysis software that allowed the programme to identify any song – but the service was very different back then.
Software running on a desktop computer could later find the markers and create others using digital-signal or audio analysis, Mr. Strub explained.
The intelligent audio analysis system will, he says, be a cost-effective and flexible way for employers to screen employees' hearing.
"Only after conducting a careful audio analysis of Shadrach," they wrote, "[were we] able to determine that Shadrach incorporates the Say What sample".
With help from Stephen Pope, a composer and sound specialist who worked for more than a decade at Stanford and Berkeley on audio-analysis programs, he adapted it for BirdGenie.
Tonara's technology combines audio signal analysis with proprietary algorithms to enable computers to understand notes in live or recorded music.
In audio content analysis, the discrimination of speech and non-speech is the first processing step before speaker segmentation and recognition, or speech transcription.
Experiments performed with pathological speech classification, T-wave alternans evaluation from the surface electrocardiogram, audio scene analysis, and telemonitoring of Parkinson's disease problems produced desirable results.
For example, in [52], the authors use two classes (i.e., speech and music) while audio content analysis at Microsoft research [53] uses four audio classes (i.e., speech, music, environment sound, and silence).
