The phrase "acoustic database" is correct and usable in written English.
It can be used in contexts related to sound analysis, music technology, or research involving audio data.
Example: "The researchers compiled an extensive acoustic database to study the effects of different sound frequencies on human behavior."
Alternatives: "audio database" or "sound database".
The acoustic database is obtained from a small aperture directional array (SADA) of microphones, which was constructed to electronically steer to different regions of the model and to obtain farfield noise spectra and directivity from these regions.
Speech annotations (transcriptions) of data obtained from acoustic database are a special portion of the text corpus.
The whole acoustic database was manually annotated by our team of trained annotators using the Transcriber tool [12], double checked, and corrected.
This is mainly due to the difficulty inherent to the acoustic database conditions and the list of terms (containing foreign terms) employed in this evaluation.
For testing language models using speech recognition system, the Slovak acoustic database was created, on which acoustic models have been trained.
The acoustic database for this study is derived entirely from published, commercially-available digital collections on CDs (listed in Additional file 1).
In this subsection, we repeat the first experiment using real measured room impulse responses from the Multichannel Acoustic Reverberation Database at York (MARDY) to evaluate the algorithms.
We evaluated the classification framework on two different emotional databases using acoustic features, the AIBO database and the USC IEMOCAP database.
To describe the results of the acoustic analysis of a database of 90 voice samples with distinct dysphonia levels, using four different – commercial and open source – software programs.
Since 2014, a hundred mentor-apprentice pairs have worked in areas including heritage language use in California, lexicon and text database construction, acoustic analysis of endangered languages, perceptions of gay and lesbian speech, syntactic and semantic patterns in Native American languages of the west coast, and much more.
The sound file can then be uploaded directly to the Abuzz website, and the algorithm will take it from there, comparing it against a database of acoustic mosquito signatures.
