Below you will find example sentences with "speech recognition". The examples show how this phrase is used in natural context and which words often surround it.

Speech Recognition in a sentence

Corpus data

  • Displayed example sentences: 20
  • Discovered as a combination around: speech
  • Corpus frequency in the collocation scan: 12
  • Phrase length: 2 words
  • Average sentence length: 25.8 words

Words in this phrase

speech recognition

Meanings of words in this phrase

  • speech can mean: The ability to speak; the faculty of uttering words or articulate sounds and vocalizations to communicate. Frequent word
  • recognition can mean: The act of recognizing or the condition of being recognized (matching a current observation with a memory of a prior observation of the s... Frequent word

Sentence profile

  • Phrase position: 10 start, 7 middle, 3 end
  • Sentence types: 20 statements, 0 questions, 0 exclamations

Usage patterns

These patterns show short text windows around the phrase in the example sentences:

speech recognition and speech 2× as automatic speech recognition asr computer 1× aspects of speech recognition such as 1× asr computer speech recognition or just 1× automatic speech recognition systems like 1× cloud based speech recognition system that 1× current speech recognition systems require 1× for automatic speech recognition filipino speech 1×

Sentence openings and endings

Common sentence openings:

speech recognition and 2× a subtask of 1× automatic speech recognition 1× current speech recognition 1× from databases several 1× front end speech 1×

Common sentence endings:

and speaker adaptation 1× and speech recognition 1× clues speech reading 1× created using computers 1× devices around them 1× for diverse scenarios 1×

Context words

These words often appear near this phrase in the example sentences:

text 5× used 5× signal 5× automatic 4× computer 4× processing 4× language 4× spoken 3× synthesis 3× topic 3× systems 3× asr 2×

Related phrases

hate speech free speech facial recognition gender recognition international recognition

Phrases around this combination

Other phrases discovered around speech:

hate speech 20× free speech 20×

Just before it in the phrase index:

specifically designed specific impulse specific criteria specialty coffee specialist crime special tribute

Just after it in the phrase index:

speed limit speed limits speed test spend less spending cuts spin group

Other phrases with the same pattern

Same ending:

facial recognition gender recognition international recognition

Corpus analysis

  • The phrase "speech recognition" has 2 words and usually appears near the start in these examples. The average sentence has 25.8 words and is mostly made up of statements.
  • Around this phrase, patterns and context words such as speech recognition and speech, as automatic speech recognition asr computer, text, used and signal stand out.
  • In the phrase index, this combination connects with hate speech, free speech, facial recognition, hate speech and free speech, linking the page to nearby combinations.

Example types with speech recognition

This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:

Short example sentences

Open-set speech recognition understanding speech without visual clues (speech reading). (11 words)

Speech recognition and Speech synthesis are two important areas of speech processing using computers. (14 words)

Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition. (15 words)

Longer example sentences

A subtask of speech recognition and typically grouped with it. ; Topic segmentation and recognition: Given a chunk of text, separate it into segments each of which is devoted to a topic, and identify the topic of the segment. (38 words)

Front-end speech recognition is where the provider dictates into a speech-recognition engine, the recognized words are displayed as they are spoken, and the dictator is responsible for editing and signing off on the document. (36 words)

On voice technologies, we have been constantly improving the stability and performance of automatic speech recognition and text to speech ASR and TTS for both Chinese and English languages, adapting them for diverse scenarios. (34 words)

Example sentences (20)

It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT).

Front-end speech recognition is where the provider dictates into a speech-recognition engine, the recognized words are displayed as they are spoken, and the dictator is responsible for editing and signing off on the document.

Open-set speech recognition understanding speech without visual clues (speech reading).

Speech recognition and Speech synthesis are two important areas of speech processing using computers.

A subtask of speech recognition and typically grouped with it. ; Topic segmentation and recognition: Given a chunk of text, separate it into segments each of which is devoted to a topic, and identify the topic of the segment.

Since then, neural networks have been used in many aspects of speech recognition such as phoneme classification, citation isolated word recognition, citation and speaker adaptation.

On voice technologies, we have been constantly improving the stability and performance of automatic speech recognition and text to speech ASR and TTS for both Chinese and English languages, adapting them for diverse scenarios.

From databases, several language models were created for Automatic Speech Recognition, Filipino Speech Synthesizer, Code Switching Detector, Essay Grader and English Proficiency training program applications.

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Current speech recognition systems require thousands of hours of transcribed speech to reach acceptable performance, which isn’t available for the majority of the nearly 7,000 languages spoken worldwide.

Automatic speech recognition systems like those at the core of Alexa convert speech into text, and one of their components is a model that predicts which word will come after a sequence of words.

This audio signal is then used by our cloud-based speech recognition system (that uses machine learning trained on a large amount of far-field speech data) to recognize an utterance from a distance.

HMMs are used in speech recognition because a speech signal can be viewed as a piecewise stationary signal or a short-time stationary signal.

In theory, Air controller tasks are also characterized by highly structured speech as the primary output of the controller, hence reducing the difficulty of the speech recognition task should be possible.

Signal, image and speech processing main Computer engineers in this area develop improvements in human–computer interaction, including speech recognition and synthesis, medical and scientific imaging, or communications systems.

Speech and language processing: An introduction to natural language processing, computational linguistics, and speech recognition.

Speech recognition and speech synthesis deal with how spoken language can be understood or created using computers.

Speech recognition Similar to on-screen keyboards, speech-to-text conversion software can also be used against keyloggers, since there are no typing or mouse movements involved.

It's almost similar to the previously released Windows Speech Recognition (WSR), but this time, you don't need to train your PC to recognize your voice.

What they did was link living human brain cells to a computer and use them to perform speech recognition.

This speech recognition is referred to as assistive technology and is often used to help individuals with visual or mobility impairment control and command the devices around them.

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