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The Amazon Echo, an example of a voice computer. Voice computing is the discipline that develops hardware or software to process voice inputs. [1]It spans many other fields including human-computer interaction, conversational computing, linguistics, natural language processing, automatic speech recognition, speech synthesis, audio engineering, digital signal processing, cloud computing, data ...
Voice problems that require voice analysis most commonly originate from the vocal folds or the laryngeal musculature that controls them, since the folds are subject to collision forces with each vibratory cycle and to drying from the air being forced through the small gap between them, and the laryngeal musculature is intensely active during speech or singing and is subject to tiring.
This is a list of notable programming languages optimized for sound production, algorithmic composition, and sound synthesis. ABC notation, a language for notating music using the ASCII character set; Bol Processor, a model of formal grammars enriched with polymetric expressions for the representation of time structures
Computer audition (CA) or machine listening is the general field of study of algorithms and systems for audio interpretation by machines. [1] [2] Since the notion of what it means for a machine to "hear" is very broad and somewhat vague, computer audition attempts to bring together several disciplines that originally dealt with specific problems or had a concrete application in mind.
A sound test is a function built into the options screen of many video games. This function was originally meant to test whether the game's music and sounds would function correctly (hence the name), as well as giving the player the ability to compare samples played in Monaural , Stereophonic and later Surround sound.
Sound chips come in different forms and use a variety of techniques to generate audio signals. This is a list of sound chips that were produced by a certain company or manufacturer, categorized by the sound generation of the chips.
To evaluate a VAD, its output using test recordings is compared with those of an "ideal" VAD – created by hand-annotating the presence or absence of voice in the recordings. The performance of a VAD is commonly evaluated on the basis of the following four parameters: [4]
Sound and music computing (SMC) is a research field that studies the whole sound and music communication chain from a multidisciplinary point of view. By combining scientific, technological and artistic methodologies it aims at understanding, modeling and generating sound and music through computational approaches.