The phrase "audio dataset" is correct and usable in written English.
It can be used when referring to a collection of audio files or recordings that are organized for analysis, training, or research purposes.
Example: "The researchers compiled an extensive audio dataset to train their machine learning model for speech recognition."
Alternatives: "sound collection" or "audio library".
Five test signals were selected from the MPEG audio dataset.
In this study, we use an environmental audio dataset that was compiled in our signal analysis research group at Ryerson University [31].
These model parameters were off-line trained from the SWB audio dataset of the live concert recordings with the length of about 1 h.
To validate the ideas proposed in the previous section, an audio dataset has been built, trying to represent as much as possible heterogeneous sources.
A training audio dataset of about 136 000 LSF vectors (approximately 3 minutes of audio) was used to estimate the parameters of a 16-class GMM.
In this work we use an environmental audio dataset that was developed and compiled in our signal analysis research (SAR) group at Ryerson University.
Through resampling and low-pass filtering, the parallel WB and SWB audio datasets were obtained, and the level of all the signals needed to be normalized to −26 dBov before further processing.
Artwork, films, audio pieces, datasets and other multimedia files can be submitted as supplementary material.
Using this generative model, we are able to construct a synthetic audio-visual dataset, namely Sound-20K, for object perception tasks.
The Open Access model offers additional multimedia benefits with links to videos, audios, full datasets and appendices, unlimited colour budgets, and interactive features, none of which the printed medium can provide.
In addition, effectiveness of the proposed method is evaluated for recorded audio and speech datasets.
