Speech recognition
Speech recognition is the inter-disciplinary sub-field 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.
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| Year | Metadata | Sections | Top Words | First Paragraph |
| 2018 |
256399 characters 35 sections 99 paragraphs 2 images 351 internal links 163 external links |
speech 0.685 recognition 0.454 speaker 0.204 neural 0.110 vocabulary 0.099 hmm 0.098 asr 0.083 learning 0.079 markov 0.077 voice 0.076 acoustic 0.071 training 0.069 hmms 0.068 ctc 0.066 recognizer 0.064 |
Speech recognition is the inter-disciplinary sub-field 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. |
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| 2017 |
225851 characters 34 sections 95 paragraphs 2 images 335 internal links 105 external links |
speech 0.679 recognition 0.448 speaker 0.193 neural 0.115 vocabulary 0.103 hmm 0.103 asr 0.087 learning 0.083 markov 0.080 acoustic 0.074 voice 0.072 hmms 0.071 ctc 0.069 training 0.067 deep 0.064 |
Speech recognition is the inter-disciplinary sub-field 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 just "speech to text" (STT). It incorporates knowledge and research in the linguistics , computer science , and electrical engineering fields. |
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| 2016 |
207888 characters 30 sections 90 paragraphs 2 images 310 internal links 81 external links |
speech 0.688 recognition 0.456 speaker 0.180 neural 0.115 vocabulary 0.104 learning 0.097 lstm 0.097 markov 0.080 deep 0.080 hmm 0.079 nuance 0.077 voice 0.075 hmms 0.071 training 0.062 fighter 0.058 |
Speech recognition ( SR ) is the inter-disciplinary sub-field of computational linguistics which incorporates knowledge and research in the linguistics , computer science , and electrical engineering fields to develop methodologies and technologies that enables the recognition and translation of spoken language into text by computers and computerized devices such as those categorized as smart technologies and robotics . It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT). |
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| 2015 |
169539 characters 30 sections 87 paragraphs 2 images 281 internal links 54 external links |
speech 0.681 recognition 0.471 speaker 0.190 vocabulary 0.117 neural 0.106 learning 0.099 nuance 0.082 markov 0.079 hmm 0.075 hmms 0.075 deep 0.075 voice 0.074 fighter 0.061 training 0.061 acoustic 0.059 |
Speech recognition (SR) is the inter-disciplinary subfield of computational linguistics which incorporates knowledge and research in the linguistics , computer science, and electrical engineering fields to develop methodologies and technologies that enables the recognition and translation of spoken language into text by computers and computerized devices such as those categoriezed as Smart Technologies and robotics . It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT). |
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| 2014 |
117182 characters 28 sections 72 paragraphs 2 images 247 internal links 31 external links |
speech 0.668 recognition 0.477 speaker 0.197 neural 0.096 voice 0.088 asr 0.082 fighter 0.082 markov 0.079 vocabulary 0.079 phonemes 0.069 training 0.068 accuracy 0.064 phrases 0.059 atc 0.056 hmm 0.056 |
In computer science and electrical engineering , speech recognition (SR) is the translation of spoken words into text. It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT). |
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| 2013 |
89843 characters 24 sections 61 paragraphs 1 images 173 internal links 20 external links |
speech 0.674 recognition 0.453 speaker 0.197 asr 0.092 fighter 0.092 markov 0.088 vocabulary 0.076 phonemes 0.076 neural 0.076 training 0.076 voice 0.070 accuracy 0.064 atc 0.063 hmm 0.063 helicopter 0.061 |
In computer science , speech recognition (SR) is the translation of spoken words into text. It is also known as "automatic speech recognition", "ASR", "computer speech recognition", "speech to text", or just "STT". |
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| 2012 |
88415 characters 22 sections 61 paragraphs 3 images 178 internal links 21 external links |
speech 0.678 recognition 0.456 speaker 0.180 asr 0.089 fighter 0.089 markov 0.086 vocabulary 0.085 phonemes 0.074 neural 0.074 training 0.074 voice 0.064 accuracy 0.062 atc 0.061 hmm 0.061 helicopter 0.059 |
In computer science , speech recognition (SR) is the translation of spoken words into text. It is also known as "automatic speech recognition", "ASR", "computer speech recognition", "speech to text", or just "STT". Some SR systems use "training" where an individual speaker reads sections of text into the SR system. These systems analyze the person's specific voice and use it to fine tune the recognition of that person's speech, resulting in more accurate transcription. Systems that do not use training are called "Speaker Independent" systems. Systems that use training are called "Speaker Dependent" systems. |
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| 2011 |
82181 characters 20 sections 59 paragraphs 7 images 160 internal links 13 external links |
3. Accuracy of speech recognition |
speech 0.697 recognition 0.433 speaker 0.133 fighter 0.093 markov 0.090 vocabulary 0.089 phonemes 0.077 wave 0.069 voice 0.066 accuracy 0.065 atc 0.064 sound 0.063 asr 0.062 helicopter 0.062 normalization 0.062 |
Speech recognition (also known as automatic speech recognition , computer speech recognition , speech to text , or just STT ) converts spoken words to text. The term "voice recognition" is sometimes used to refer to recognition systems that must be trained to a particular speaker—as is the case for most desktop recognition software. Recognizing the speaker can simplify the task of translating speech. |
| 2010 |
62194 characters 20 sections 44 paragraphs 4 images 121 internal links 8 external links |
speech 0.662 recognition 0.479 fighter 0.111 sr 0.111 markov 0.107 speaker 0.106 asr 0.093 voice 0.080 atc 0.076 helicopter 0.074 normalization 0.074 phonemes 0.074 hidden 0.074 spoken 0.072 pilot 0.070 |
Speech recognition (also known as automatic speech recognition or computer speech recognition ) converts spoken words to text. The term "voice recognition" is sometimes used to refer to recognition systems that must be trained to a particular speaker—as is the case for most desktop recognition software. Recognizing the speaker can simplify the task of translating speech. |
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| 2009 |
56208 characters 18 sections 42 paragraphs 4 images 111 internal links 11 external links |
speech 0.669 recognition 0.479 atc 0.128 training 0.121 sr 0.104 markov 0.100 spoken 0.100 vocabulary 0.100 speaker 0.087 asr 0.087 fighter 0.087 voice 0.079 accuracy 0.072 dictation 0.071 helicopter 0.069 |
Speech recognition (also known as automatic speech recognition or computer speech recognition ) converts spoken words to text. The term "voice recognition" is sometimes used to refer to speech recognition where the recognition system is trained to a particular speaker - as is the case for most desktop recognition software, hence there is an element of speaker recognition , which attempts to identify the person speaking, to better recognize what is being said. Speech recognition is a broad term which means it can recognize almost anybody's speech - such as a call-centre system designed to recognize many voices. Voice recognition is a system trained to a particular user, where it recognizes their speech based on their unique vocal sound. |
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| 2008 |
55011 characters 19 sections 42 paragraphs 3 images 112 internal links 19 external links |
3. Performance of speech recognition systems |
speech 0.661 recognition 0.473 atc 0.135 training 0.128 sr 0.110 markov 0.106 vocabulary 0.105 fighter 0.092 dictation 0.090 voice 0.084 speaker 0.079 accuracy 0.076 asr 0.073 helicopter 0.073 normalization 0.073 |
Speech recognition (also known as automatic speech recognition or computer speech recognition ) converts spoken words to machine-readable input (for example, to key presses, using the binary code for a string of character codes). The term "voice recognition" may also be used to refer to speech recognition, but can more precisely refer to speaker recognition , which attempts to identify the person speaking, as opposed to what is being said. |
| 2007 |
42114 characters 17 sections 39 paragraphs 1 images 63 internal links 9 external links |
speech 0.648 recognition 0.485 atc 0.154 training 0.140 vocabulary 0.121 sr 0.113 markov 0.097 fighter 0.094 accuracy 0.087 dictation 0.077 asr 0.075 helicopter 0.075 normalization 0.075 phonemes 0.075 naval 0.075 |
Speech recognition (in many contexts also known as automatic speech recognition , computer speech recognition or erroneously as voice recognition) is the process of converting a speech signal to a sequence of words in the form of digital data, by means of an algorithm implemented as a computer program. |
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| 2006 |
41481 characters 14 sections 34 paragraphs 1 images 47 internal links 17 external links |
1. Speech recognition technology 2. Performance of speech recognition systems 3. Noisy channel formulation of statistical speech recognition 4. Approaches of statistical speech recognition |
pr 0.467 speech 0.438 recognition 0.314 markov 0.225 template 0.168 speaker 0.167 displaystyle 0.150 hidden 0.145 acoustic 0.131 hmms 0.120 normalization 0.117 hmm 0.096 tilde 0.096 cepstral 0.088 phoneme 0.088 |
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| 2005 |
31821 characters 9 sections 19 paragraphs 0 images 38 internal links 21 external links |
speech 0.591 recognition 0.420 markov 0.163 vocabulary 0.159 speaker 0.159 nuance 0.158 pr 0.158 normalization 0.127 hidden 0.126 delta 0.111 asr 0.095 cepstral 0.095 transcription 0.095 coefficients 0.091 toolkit 0.091 |
Speech recognition technologies allow computers equipped with a source of sound input, such as a microphone , to interpret human speech , for example, for transcription or as an alternative method of interacting with a computer . |
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| 2004 |
9933 characters 5 sections 11 paragraphs 0 images 12 internal links 2 external links |
speech 0.511 recognition 0.451 vocabulary 0.226 speaker 0.226 spoken 0.202 recognize 0.123 adverse 0.123 destinations 0.105 pronunciation 0.105 vocal 0.105 booking 0.105 appeal 0.105 transcription 0.105 speakers 0.104 training 0.104 |
Speech recognition technologies allow computers equipped with a source of sound input, such as a microphone , to interpret human speech, e.g. for transcription or as an alternative method of interacting with a computer. |
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| 2003 |
6221 characters 2 sections 8 paragraphs 0 images 20 internal links 1 external links |
speech 0.578 recognise 0.285 recognition 0.255 vocabulary 0.204 spoken 0.183 destinations 0.143 vocal 0.143 appeal 0.143 transcription 0.143 training 0.142 edit 0.117 disambiguation 0.117 interesting 0.102 decimal 0.102 loading 0.102 |
Speech recognition technologies allow computers equipped with microphones to interpret human speech, e.g. for transcription or as a control method. |
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| 2002 |
5504 characters 0 sections 12 paragraphs 0 images 16 internal links 0 external links |
speech 0.620 recognise 0.278 recognition 0.199 vocabulary 0.199 spoken 0.178 interpret 0.162 destinations 0.139 vocal 0.139 appeal 0.139 transcription 0.139 training 0.138 edit 0.114 interesting 0.100 decimal 0.100 loading 0.100 |
Speech recognition technologies allow computers equipped with microphones to interpret human speech, e.g. for transcription or as a control method. |