Speech Recognition Application Program Interface - definição. O que é Speech Recognition Application Program Interface. Significado, conceito
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O que (quem) é Speech Recognition Application Program Interface - definição

AUTOMATIC CONVERSION OF SPOKEN LANGUAGE INTO TEXT
Voice Tag; Speech Recognition; Automatic speech recognition; Speech to text; Speech-recognition; Speech-to-text; Automatic Speech Recognition; Computer speech recognition; Spoken word recognition; Speech recognizer; Automatic speech recognizer; Voice to text; Voice-to-text; Voice recognition software; Voice dialing; Voice command; Speech to Text; Speech-to-Text; Voice typing; Speech recognition technology; Voice Command; Voice Recognition Command System; Speech recognition software; Automated speech recognition; Speech recognition software in healthcare; Speach to text; SpeechTEK; Speech understanding; Applications of speech recognition; History of speech recognition software; History of speech recognition; End-to-end automatic speech recognition; Phoneme recognition; DeepSpeech; Voice dictation; Dictation software; Military applications of speech recognition

Speech Recognition Application Program Interface      
<programming> (SRAPI) Novell, Inc.'s high level API for speech recognition which will be rolled out with WordPerfect 7.0 and Perfect Office 7.0. SRAPI is in competition with SAPI from Microsoft, a high level API which currently addresses command and control (but not yet dictation). [Byte; March 1996; page 30; "Battle of the Dictaion APIs"]. (1996-03-12)
Application Program Interface         
  • Univac 1108]], the goal of their API was to make [[hardware independent]] programs possible.<ref name="CottonGreatorex1968" />
SOFTWARE INTERFACE BETWEEN COMPUTERS AND/OR PROGRAMS
Application-programming interface; Application Programming Interfaces; Application-level interaction; Application Program Interface; Api; API documentation; API Documentation; Application Programming Interface (API); Application program interface; Applications programming interface; Application programming interfaces; Applications Programming Interface; Application program interfaces; Programming interface; Software API; Advanced programming interface; Api.php; API.php; Application Programming Interface; API (redirects and miscellaneous); Development API; API compatibility; API-compatible; API function; API economy; Api economy; Application programming interface; Application Programmer's Interface; Application Programmers Interface; Hyrum's Law; Hyrum's law
<programming> (API, or "application programming interface") The interface (calling conventions) by which an {application program} accesses operating system and other services. An API is defined at source code level and provides a level of abstraction between the application and the kernel (or other privileged utilities) to ensure the portability of the code. An API can also provide an interface between a {high level language} and lower level utilities and services which were written without consideration for the calling conventions supported by compiled languages. In this case, the API's main task may be the translation of parameter lists from one format to another and the interpretation of call-by-value and call-by-reference arguments in one or both directions. (1995-02-15)
Applications Programming Interface         
  • Univac 1108]], the goal of their API was to make [[hardware independent]] programs possible.<ref name="CottonGreatorex1968" />
SOFTWARE INTERFACE BETWEEN COMPUTERS AND/OR PROGRAMS
Application-programming interface; Application Programming Interfaces; Application-level interaction; Application Program Interface; Api; API documentation; API Documentation; Application Programming Interface (API); Application program interface; Applications programming interface; Application programming interfaces; Applications Programming Interface; Application program interfaces; Programming interface; Software API; Advanced programming interface; Api.php; API.php; Application Programming Interface; API (redirects and miscellaneous); Development API; API compatibility; API-compatible; API function; API economy; Api economy; Application programming interface; Application Programmer's Interface; Application Programmers Interface; Hyrum's Law; Hyrum's law

Wikipédia

Speech recognition

Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the main benefit of searchability. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis.

Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker-independent" systems. Systems that use training are called "speaker dependent".

Speech recognition applications include voice user interfaces such as voice dialing (e.g. "call home"), call routing (e.g. "I would like to make a collect call"), domotic appliance control, search key words (e.g. find a podcast where particular words were spoken), simple data entry (e.g., entering a credit card number), preparation of structured documents (e.g. a radiology report), determining speaker characteristics, speech-to-text processing (e.g., word processors or emails), and aircraft (usually termed direct voice input).

The term voice recognition or speaker identification refers to identifying the speaker, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech in systems that have been trained on a specific person's voice or it can be used to authenticate or verify the identity of a speaker as part of a security process.

From the technology perspective, speech recognition has a long history with several waves of major innovations. Most recently, the field has benefited from advances in deep learning and big data. The advances are evidenced not only by the surge of academic papers published in the field, but more importantly by the worldwide industry adoption of a variety of deep learning methods in designing and deploying speech recognition systems.