The phrase "acoustic language" is correct and usable in written English.
It can be used to refer to a form of communication that relies on sound, often in the context of linguistics or music.
Example: "The study of acoustic language reveals how different cultures utilize sound patterns to convey meaning."
Alternatives: "sonic language" or "auditory language".
We show that accurate numeric understanding in fluent unconstrained speech demands maintaining robustness at several different levels of system design, including acoustic, language, understanding and dialogue.
Currently, acoustic language recognition (LR) systems [5] and phonotactic LR systems [3] are both widely used.
The acoustic model, representing the acoustic language expression, can be adapted to recognize specific speech traits of the individual users.
Best performance of our acoustic language recognition systems can be further improved by combining these two new systems.
Morphosyntactic tagging, using a tagger specifically designed for ASR transcripts, is used in a postprocessing stage to generate a final transcription with word-posterior-based confidence measures, combining the acoustic, language model, and morphosyntactic scores [17].
We had to address this issue during the development of both acoustic and language models (see the "Language model" section below).
The article On the impact of children's emotional speech on acoustic and language models by S. Steidl, A. Batliner, D. Seppi, and B. Schuller investigates the influence of the emotional state of a speaker on speech recognition performance.
Two different Spanish speech databases, which cover different acoustic and language domains, were used in the evaluation: the MAVIR database, which consists of a set of talks from workshops, and the EPIC database, which consists of a set of European Parliament sessions in Spanish.
Overall, researchers from the latest study reduced the error rate by about 12percentt compared to last year's findings by improving the neural net-based acoustic and language models of Microsoft's speech recognition system.
Currently, acoustic spoken language recognition (SLR) and phonotactic SLR systems are widely used language recognition systems.
Text-to-text alignment: Here, a full-fledged automatic speech recognition (ASR) system including an acoustic and language model is used.
