The phrase "acoustic recognition" is correct and usable in written English.
It can be used in contexts related to sound analysis, voice recognition technology, or audio processing.
Example: "The new software utilizes advanced acoustic recognition to improve voice command accuracy."
Alternatives: "sound recognition" or "audio recognition".
Today, a variety of automated methods have been successfully applied for acoustic recognition of specific bird species.
In addition, we aim to demonstrate its effectiveness when it is used in a process of multi-style training of the acoustic recognition models and using the resulted model to recognize speech processed by HEQ.
Previous studies on zebra finches have shown that the number of calls and the latency to respond are reliable behavioural measures for acoustic recognition in both, adults [16], [21] and young [20].
Although these studies establish that FM is important for acoustic recognition, most likely a combination of different acoustic parameters is used by the receiver to recognise the signaller.
Exposes students to applications around acoustics, recognition, and speech disorders.
We used acoustic parent offspring recognition in zebra finches, Taeniopygia guttata, to test how acoustic similarity between individuals affects a chick's response behaviour.
Currently, acoustic language recognition (LR) systems [5] and phonotactic LR systems [3] are both widely used.
Best performance of our acoustic language recognition systems can be further improved by combining these two new systems.
In this article, we introduced a novel 9-d perceptual feature set for the task of acoustic emotion recognition.
In a further playback experiment we then test acoustic parental recognition of fledglings with distance calls of their own versus unfamiliar (alien) fledglings.
Acoustic individual recognition is essential in a variety of contexts with repeated social interactions, of which parent-offspring communication has received a lot of attention in recent years [1], [8], [9].
