What is Speech Recognition

It is the ability of a machine to identify words and phrases in a spoken language and convert them to machine understandable language.

Speech recognition is a technology that enables computers to recognize and interpret human speech. It allows users to interact with computers and other digital devices using spoken commands.

Converts spoken words to machine-readable input.

Speech Recognition can be defined as the ability of a machine or program to identify words or phrases in spoken language to a machine readable format. It is the process of converting a speech signal into word sequences by implementing computer algorithms or programming.

The ability of artificially intelligent machines to recognize the speech commands and execute them.

Speech recognition is an interdisciplinary subfield of computational linguistics that develops methodologies and technologies that enables the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition, or speech to text (STT). It incorporates knowledge and research in the linf=guistics, computer Science and electrical engineering fields.

Speech recognition is a process through which machines convert words or phrases spoken into a machine-readable format.

It is an interdisciplinary field of computer science and computational linguistics that develops methodologies and technologies for spoken language recognition.

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

The application of AI to transcribe and interpret human speech, used in language learning for pronunciation practice and assessment.

Technology that converts speech into text. It enables intelligent voice recognition to help understand what the user is saying.

In speech recognition technique, words and phrases in spoken language are converted into a text or machine-readable format. Speech recognition works using algorithms through acoustic and language modeling. The acoustic model is a file that contains a statistical representation of each of the distinct sounds that makes up a word. An acoustic model contains the large database of speech that is called a speech corpus. And use special training algorithms to create statistical representations for each phoneme in a language. Language models are used to constrain search in a decoder by limiting the number of possible words that need to be considered at any one point in the search. The consequence is faster execution and higher accuracy. Language models constrain search either absolutely (by enumerating some small subset of possible expansions) or probabilistically (by computing a likelihood for each possible successor word). The former will usually have an associated grammar this is compiled down into a graph; the latter will be trained from a corpus. Statistical language models (SLMs) are good for free-form input, such as dictation or spontaneous speech, where it's not practical or possible to a priori specify all possible legal word sequences.

The process of interpreting human speech for transcription, or as a method of interacting with a computer or device, using a source of speech input, such as a microphone.

Speech recognition refers to an interdisciplinary subfield of computer science and computational linguistics that creates technologies helping the recognition and translation of spoken language into text by computers.

The function to recognize a voice and to convert into letters.

Is the ability of a machine or program to recognize voice commands or take dictation.

The process of enabling a computer to identify and respond to the sounds produced in human speech.

Generation of automatic actions based on an input human speech sound.

The process of interpreting human speech for transcription or as a method of interacting with a computer or a mobile device, using a source of speech input, such as a microphone.