. . . . . "\u8BED\u97F3\u8BC6\u522B\uFF08speech recognition\uFF1B\u8A9E\u97F3\u8FA8\u8B58\uFF0F\u8A00\u8A9E\u8FA8\u5225\uFF09\u6280\u672F\uFF0C\u4E5F\u88AB\u79F0\u4E3A\u81EA\u52A8\u8BED\u97F3\u8BC6\u522B\uFF08\u82F1\u8BED\uFF1AAutomatic Speech Recognition, ASR\uFF09\u3001\u96FB\u8166\u8A9E\u97F3\u8B58\u5225\uFF08\u82F1\u8BED\uFF1AComputer Speech Recognition\uFF09\u6216\u662F\u8A9E\u97F3\u8F49\u6587\u672C\u8B58\u5225\uFF08\u82F1\u8BED\uFF1ASpeech To Text, STT\uFF09\uFF0C\u5176\u76EE\u6807\u662F\u4EE5\u96FB\u8166\u81EA\u52D5\u5C06\u4EBA\u7C7B\u7684\u8BED\u97F3\u5185\u5BB9\u8F6C\u6362\u4E3A\u76F8\u61C9\u7684\u6587\u5B57\u3002\u4E0E\u8BF4\u8BDD\u4EBA\u8BC6\u522B\u53CA\u8BF4\u8BDD\u4EBA\u786E\u8BA4\u4E0D\u540C\uFF0C\u540E\u8005\u5C1D\u8BD5\u8BC6\u522B\u6216\u786E\u8BA4\u53D1\u51FA\u8BED\u97F3\u7684\u8BF4\u8BDD\u4EBA\u800C\u975E\u5176\u4E2D\u6240\u5305\u542B\u7684\u8BCD\u6C47\u5185\u5BB9\u3002 \u8BED\u97F3\u8BC6\u522B\u6280\u672F\u7684\u5E94\u7528\u5305\u62EC\u8BED\u97F3\u62E8\u53F7\u3001\u8BED\u97F3\u5BFC\u822A\u3001\u5BA4\u5185\u8BBE\u5907\u63A7\u5236\u3001\u8BED\u97F3\u6587\u6863\u68C0\u7D22\u3001\u7B80\u5355\u7684\u542C\u5199\u6570\u636E\u5F55\u5165\u7B49\u3002\u8BED\u97F3\u8BC6\u522B\u6280\u672F\u4E0E\u5176\u4ED6\u81EA\u7136\u8BED\u8A00\u5904\u7406\u6280\u672F\u5982\u673A\u5668\u7FFB\u8BD1\u53CA\u8BED\u97F3\u5408\u6210\u6280\u672F\u76F8\u7ED3\u5408\uFF0C\u53EF\u4EE5\u6784\u5EFA\u51FA\u66F4\u52A0\u590D\u6742\u7684\u5E94\u7528\uFF0C\u4F8B\u5982\u8BED\u97F3\u5230\u8BED\u97F3\u7684\u7FFB\u8BD1\u3002 \u8BED\u97F3\u8BC6\u522B\u6280\u672F\u6240\u6D89\u53CA\u7684\u9886\u57DF\u5305\u62EC\uFF1A\u4FE1\u53F7\u5904\u7406\u3001\u6A21\u5F0F\u8BC6\u522B\u3001\u6982\u7387\u8BBA\u548C\u4FE1\u606F\u8BBA\u3001\u53D1\u58F0\u673A\u7406\u548C\u542C\u89C9\u673A\u7406\u3001\u4EBA\u5DE5\u667A\u80FD\u7B49\u7B49\u3002"@zh . . . . . . "Die Spracherkennung oder auch automatische Spracherkennung ist ein Teilgebiet der angewandten Informatik, der Ingenieurwissenschaften und der Computerlinguistik. Sie besch\u00E4ftigt sich mit der Untersuchung und Entwicklung von Verfahren, die Automaten, insbesondere Computern, die gesprochene Sprache der automatischen Datenerfassung zug\u00E4nglich macht. Die Spracherkennung ist zu unterscheiden von der Stimm- bzw. Sprechererkennung, einem biometrischen Verfahren zur Personenidentifikation. Allerdings \u00E4hneln sich die Realisierungen dieser Verfahren."@de . . . . . . 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\u0645\u0646\u0637\u0648\u0642\u0629) \u0625\u062F\u062E\u0627\u0644 \u0628\u064A\u0627\u0646\u0627\u062A \u0628\u0633\u064A\u0637\u0629 ( \u0639\u0644\u0649 \u0633\u0628\u064A\u0644 \u0627\u0644\u0645\u062B\u0627\u0644: \u0627\u062F\u062E\u0644 \u0631\u0642\u0645 \u0627\u0644\u0628\u0637\u0627\u0642\u0629 \u0627\u0644\u0627\u0626\u062A\u0645\u0627\u0646\u064A\u0629 )\u060C \u0625\u0639\u062F\u0627\u062F \u0648\u062B\u0627\u0626\u0642 \u0645\u0646\u0638\u0645\u0629 ( \u0645\u062B\u0644: \u062A\u0642\u0631\u064A\u0631 \u0627\u0644\u0623\u0634\u0639\u0629)\u060C \u062E\u0637\u0627\u0628 \u0645\u0639\u0627\u0644\u062C\u0629 \u0627\u0644\u0646\u0635\u0648\u0635 ( \u0645\u062B\u0644: \u0645\u0639\u0627\u0644\u062C \u0627\u0644\u0643\u0644\u0645\u0627\u062A \" Word \" \u0623\u0648 \u0631\u0633\u0627\u0626\u0644 \u0627\u0644\u0628\u0631\u064A\u062F \u0627\u0644\u0627\u0644\u0643\u062A\u0631\u0648\u0646\u064A ) \u0648\u0627\u0644\u0645\u0631\u0643\u0628\u0629 \u0627\u0644\u062C\u0648\u064A\u0629 (\u0645\u062B\u0644: \u0623\u062C\u0647\u0632\u0629 \u0627\u0644\u0625\u062F\u062E\u0627\u0644 \u0627\u0644\u0645\u0628\u0627\u0634\u0631)."@ar . . . . . "Reconnaissance automatique de la parole"@fr . . . "\u062A\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0643\u0644\u0627\u0645"@ar . . . . . "El reconocimiento autom\u00E1tico del habla (RAH) o reconocimiento autom\u00E1tico de voz es una disciplina de la inteligencia artificial que tiene como objetivo permitir la comunicaci\u00F3n hablada entre seres humanos y computadoras. El problema que se plantea en un sistema de este tipo es el de hacer cooperar un conjunto de informaciones que provienen de diversas fuentes de conocimiento (ac\u00FAstica, fon\u00E9tica, fonol\u00F3gica, l\u00E9xica, sint\u00E1ctica, sem\u00E1ntica y pragm\u00E1tica), en presencia de ambig\u00FCedades, incertidumbres y errores inevitables para llegar a obtener una interpretaci\u00F3n aceptable del mensaje ac\u00FAstico recibido."@es . . "Speech recognition"@en . . "Tecnologias de reconhecimento da fala (tamb\u00E9m denominado em alguns aparelhos como reconhecimento de voz) permitem que computadores equipados com microfones interpretem a fala humana, por exemplo, para transcri\u00E7\u00E3o ou como m\u00E9todo de comando por voz.Tais sistemas podem ser classificados por requererem, ou n\u00E3o, que o usu\u00E1rio treine o sistema a reconhecer seus padr\u00F5es particulares de fala, por ter a habilidade de reconhecer fala cont\u00EDnua ou por requerer que o usu\u00E1rio fale pausadamente, e pelo tamanho do vocabul\u00E1rio que \u00E9 capaz de reconhecer (pequeno, da ordem de dezenas a centenas de palavras, ou grande, com milhares de palavras)."@pt . . . . "\u0420\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u0432\u0430\u043D\u0438\u0435 \u0440\u0435\u0447\u0438 \u2014 \u043F\u0440\u043E\u0446\u0435\u0441\u0441 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0440\u0435\u0447\u0435\u0432\u043E\u0433\u043E \u0441\u0438\u0433\u043D\u0430\u043B\u0430 \u0432 \u0446\u0438\u0444\u0440\u043E\u0432\u0443\u044E \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u044E (\u043D\u0430\u043F\u0440\u0438\u043C\u0435\u0440, \u0442\u0435\u043A\u0441\u0442\u043E\u0432\u044B\u0435 \u0434\u0430\u043D\u043D\u044B\u0435). \u041E\u0431\u0440\u0430\u0442\u043D\u043E\u0439 \u0437\u0430\u0434\u0430\u0447\u0435\u0439 \u044F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u0441\u0438\u043D\u0442\u0435\u0437 \u0440\u0435\u0447\u0438."@ru . . "Il riconoscimento vocale \u00E8 il processo mediante il quale il linguaggio orale umano viene riconosciuto e successivamente elaborati attraverso un computer o pi\u00F9 specificatamente attraverso un apposito sistema di riconoscimento vocale. Sistemi di riconoscimento vocale vengono utilizzati per applicazioni vocali automatizzare nel contesto delle applicazioni telefoniche, ad esempio call center automatici, per sistemi di dettatura (in inglese dictation system), che consentono di dettare discorsi al computer, oppure per sistemi di controllo del sistema di navigazione satellitare o del telefono in auto tramite comandi vocali."@it . . . . . . "La reconnaissance automatique de la parole (souvent improprement appel\u00E9e reconnaissance vocale) est une technique informatique qui permet d'analyser la voix humaine capt\u00E9e au moyen d'un microphone pour la transcrire sous la forme d'un texte exploitable par une machine. La reconnaissance de la parole, ainsi que la synth\u00E8se de la parole, l'identification du locuteur ou la v\u00E9rification du locuteur, font partie des techniques de traitement de la parole. Ces techniques permettent notamment de r\u00E9aliser des interfaces homme-machine (IHM) o\u00F9 une partie de l'interaction se fait \u00E0 la voix : \u00AB interfaces vocales \u00BB, Parmi les nombreuses applications, on peut citer les applications de dict\u00E9e vocale sur ordinateur o\u00F9 la difficult\u00E9 tient \u00E0 la taille du vocabulaire et \u00E0 la longueur des phrases, mais aussi les applications t\u00E9l\u00E9phoniques de type serveur vocal interactif, o\u00F9 la difficult\u00E9 tient plut\u00F4t \u00E0 la n\u00E9cessit\u00E9 de reconna\u00EEtre n'importe quelle voix dans des conditions acoustiques variables et souvent bruyantes (t\u00E9l\u00E9phones mobiles dans des lieux publics). Dans Parole et dialogue homme-machine, W. Minker et S. Bennacef expliquent que la reconnaissance automatique de la parole est un domaine complexe, car il existe une diff\u00E9rence importante entre le langage formel, qui est compris et utilis\u00E9 par les machines, et le langage naturel, que les humains utilisent. Le langage formel est structur\u00E9 par des r\u00E8gles syntaxiques strictes et sans ambig\u00FCit\u00E9. \u00C0 l'inverse, dans le langage naturel, des mots ou des phrases peuvent avoir plusieurs sens selon l'intonation de l'\u00E9nonciateur ou le contexte par exemple."@fr . . . . "El reconocimiento autom\u00E1tico del habla (RAH) o reconocimiento autom\u00E1tico de voz es una disciplina de la inteligencia artificial que tiene como objetivo permitir la comunicaci\u00F3n hablada entre seres humanos y computadoras. El problema que se plantea en un sistema de este tipo es el de hacer cooperar un conjunto de informaciones que provienen de diversas fuentes de conocimiento (ac\u00FAstica, fon\u00E9tica, fonol\u00F3gica, l\u00E9xica, sint\u00E1ctica, sem\u00E1ntica y pragm\u00E1tica), en presencia de ambig\u00FCedades, incertidumbres y errores inevitables para llegar a obtener una interpretaci\u00F3n aceptable del mensaje ac\u00FAstico recibido. Un sistema de reconocimiento de voz es una herramienta computacional capaz de procesar la se\u00F1al de voz emitida por el ser humano y reconocer la informaci\u00F3n contenida en \u00E9sta, convirti\u00E9ndola en texto o emitiendo \u00F3rdenes que act\u00FAan sobre un proceso. En su desarrollo intervienen diversas disciplinas, tales como: la fisiolog\u00EDa, la ac\u00FAstica, la ling\u00FC\u00EDstica, el procesamiento de se\u00F1ales, la inteligencia artificial y la ciencia de la computaci\u00F3n."@es . . . . . . . "Spracherkennung"@de . . . "29468"^^ . . "\u97F3\u58F0\u8A8D\u8B58"@ja . . . . . . . . . . "Riconoscimento vocale"@it . "Tecnologias de reconhecimento da fala (tamb\u00E9m denominado em alguns aparelhos como reconhecimento de voz) permitem que computadores equipados com microfones interpretem a fala humana, por exemplo, para transcri\u00E7\u00E3o ou como m\u00E9todo de comando por voz.Tais sistemas podem ser classificados por requererem, ou n\u00E3o, que o usu\u00E1rio treine o sistema a reconhecer seus padr\u00F5es particulares de fala, por ter a habilidade de reconhecer fala cont\u00EDnua ou por requerer que o usu\u00E1rio fale pausadamente, e pelo tamanho do vocabul\u00E1rio que \u00E9 capaz de reconhecer (pequeno, da ordem de dezenas a centenas de palavras, ou grande, com milhares de palavras). Sistemas que requerem pouco treinamento podem capturar continuamente a fala com um amplo vocabul\u00E1rio, em ritmo normal, com precis\u00E3o de cerca de 98% (duas palavras erradas em cem) enquanto sistemas que n\u00E3o requerem treinamento podem reconhecer um n\u00FAmero pequeno de palavras como, por exemplo, os dez d\u00EDgitos do sistema decimal. Tais sistemas s\u00E3o populares por direcionar chamadas telef\u00F4nicas recebidas, em grandes organiza\u00E7\u00F5es, aos seus destinos. Sistemas comerciais para reconhecimento da fala t\u00EAm estado dispon\u00EDveis desde os anos 90, por\u00E9m \u00E9 interessante notar que, apesar do aparente sucesso dessa tecnologia, poucas pessoas os usam. Parece que a maioria dos usu\u00E1rios de computador pode criar e editar documentos mais rapidamente com um teclado convencional, apesar do fato de que muitas pessoas s\u00E3o capazes de falar consideravelmente mais r\u00E1pido do que podem digitar. Al\u00E9m disso, o uso intenso dos \u00F3rg\u00E3os da fala pode resultar em sobrecarga vocal. Alguns dos problemas t\u00E9cnicos chaves do reconhecimento da fala s\u00E3o: \n* Diferen\u00E7as entre os interlocutores s\u00E3o freq\u00FCentemente grandes e dificultam. N\u00E3o est\u00E1 claro quais caracter\u00EDsticas da fala s\u00E3o independentes do falante. \n* A interpreta\u00E7\u00E3o de v\u00E1rios fonemas, palavras e frases \u00E9 sens\u00EDvel ao contexto. Por exemplo: os fonemas s\u00E3o geralmente mais curtos em palavras longas do que em palavras pequenas. As palavras t\u00EAm significados diferentes em frases diferentes. Por exemplo: \"Philip lies\" pode ser interpretado como Philip sendo um mentiroso ou como Philip deitando-se na cama. \n* A entona\u00E7\u00E3o e o timbre da fala podem mudar completamente a interpreta\u00E7\u00E3o de uma palavra ou frase. Por exemplo: \"Vai!\", \"Vai?\" e \"Vai.\" podem ser claramente reconhecidos por um humano, mas n\u00E3o t\u00E3o facilmente por um computador. \n* Palavras e frases podem ter v\u00E1rias interpreta\u00E7\u00F5es v\u00E1lidas de modo que o falante deixe a escolha da correta para o ouvinte. \n* A linguagem escrita precisa de pontua\u00E7\u00E3o de acordo com regras estritas que n\u00E3o est\u00E3o fortemente presentes na fala e s\u00E3o dif\u00EDceis de inferir sem conhecer o significado (v\u00EDrgulas, fim de frase, cita\u00E7\u00F5es). O entendimento do significado das palavras ditas \u00E9 pensado como um campo separado do entendimento natural da linguagem. H\u00E1 v\u00E1rios exemplos de frases que soam iguais e s\u00F3 podem ser desambiguadas pela apari\u00E7\u00E3o do contexto: uma famosa camisa vestida por pesquisadores da Apple Inc. dizia \"I helped Apple wreck a nice beach\" [Eu ajudei a Apple a destruir uma bela praia], o que, quando pronunciado, soa como \"I helped Apple recognize speech\" [Eu ajudei a Apple a reconhecer a fala]. Uma solu\u00E7\u00E3o geral para muitos dos problemas acima requer efetivamente conhecimento humano, experi\u00EAncia e uma avan\u00E7ada tecnologia em intelig\u00EAncia artificial. Especificamente, modelos estat\u00EDsticos de linguagem s\u00E3o freq\u00FCentemente empregados para desambigua\u00E7\u00E3o e melhoramento da precis\u00E3o do reconhecimento."@pt . . . . . "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)."@en . . . . . . . . . . . "Reconhecimento de fala"@pt . "743745524"^^ . . "\u0420\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u0432\u0430\u043D\u0438\u0435 \u0440\u0435\u0447\u0438"@ru . . "\u97F3\u58F0\u8A8D\u8B58\uFF08\u304A\u3093\u305B\u3044\u306B\u3093\u3057\u304D\u3001\u82F1: speech recognition\uFF09\u3068\u306F\u3001\u4EBA\u9593\u306E\u58F0\u306A\u3069\u3092\u30B3\u30F3\u30D4\u30E5\u30FC\u30BF\u30FC\u306B\u8A8D\u8B58\u3055\u305B\u308B\u3053\u3068\u3067\u3042\u308A\u3001\u8A71\u3057\u8A00\u8449\u3092\u6587\u5B57\u5217\u306B\u5909\u63DB\u3057\u305F\u308A\u3001\u3042\u308B\u3044\u306F\u97F3\u58F0\u306E\u7279\u5FB4\u3092\u3068\u3089\u3048\u3066\u58F0\u3092\u51FA\u3057\u3066\u3044\u308B\u4EBA\u3092\u8B58\u5225\u3059\u308B\u6A5F\u80FD\u3092\u6307\u3059\u3002"@ja . . . . "Il riconoscimento vocale \u00E8 il processo mediante il quale il linguaggio orale umano viene riconosciuto e successivamente elaborati attraverso un computer o pi\u00F9 specificatamente attraverso un apposito sistema di riconoscimento vocale."@it . . "La reconnaissance automatique de la parole (souvent improprement appel\u00E9e reconnaissance vocale) est une technique informatique qui permet d'analyser la voix humaine capt\u00E9e au moyen d'un microphone pour la transcrire sous la forme d'un texte exploitable par une machine."@fr . . . . . . "Spraakherkenning is een deelgebied van de informatica en computationele taalkunde waarbinnen methoden worden onderzocht en ontwikkeld die het mogelijk maken om automaten, in het bijzonder computers, het gesproken woord te laten herkennen en verwerken. Spraakherkenning moet onderscheiden worden van stemherkenning, een biometrische techniek om een bepaalde persoon aan de hand van zijn stem te kunnen identificeren. De methoden om beide te realiseren zijn echter wel nauw verwant."@nl . . . . "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). Some SR systems use \"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 (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), 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 world-wide industry adoption of a variety of deep learning methods in designing and deploying speech recognition systems. These speech industry players include Google, Microsoft, Hewlett Packard Enterprise, IBM, Baidu (China), Apple, Amazon, Nuance, IflyTek (China), many of which have publicized the core technology in their speech recognition systems as being based on deep learning."@en . "\u8BED\u97F3\u8BC6\u522B"@zh . "Rozpoznawanie mowy \u2013 technologia pozwalaj\u0105ca komputerowi lub innemu urz\u0105dzeniu interpretowa\u0107 mow\u0119 ludzk\u0105, na przyk\u0142ad do cel\u00F3w transkrypcji lub jako alternatywn\u0105 metod\u0119 interakcji. Dla j\u0119zyka polskiego (stan na rok 2008) dost\u0119pne s\u0105 programy rozpoznaj\u0105ce poprawnie 5-9 na 10 wypowiedzianych s\u0142\u00F3w mowy ci\u0105g\u0142ej (na wsp\u00F3\u0142czynnik ten, opr\u00F3cz jako\u015Bci algorytmu, wp\u0142ywaj\u0105 m.in. wyrazisto\u015B\u0107 i zrozumia\u0142o\u015B\u0107 mowy). Warto\u015Bci skuteczno\u015Bci system\u00F3w rozpoznawania mowy bardzo zale\u017C\u0105 od przyj\u0119tego scenariusza testu. Dlatego informacje liczbowe, wbrew intuicji, zwykle nie s\u0105 dobrym odzwierciedleniem jako\u015Bci takich system\u00F3w. Najskuteczniejsz\u0105 metod\u0105 jest por\u00F3wnanie dw\u00F3ch lub wi\u0119cej system\u00F3w na takim samym scenariuszu testowym. Jako\u015B\u0107 system\u00F3w mo\u017Ce jednak tak\u017Ce zale\u017Ce\u0107 od tego jak sygna\u0142 jest rejestrowany. Przy"@pl . "Spraakherkenning is een deelgebied van de informatica en computationele taalkunde waarbinnen methoden worden onderzocht en ontwikkeld die het mogelijk maken om automaten, in het bijzonder computers, het gesproken woord te laten herkennen en verwerken. Spraakherkenning moet onderscheiden worden van stemherkenning, een biometrische techniek om een bepaalde persoon aan de hand van zijn stem te kunnen identificeren. De methoden om beide te realiseren zijn echter wel nauw verwant."@nl . "Reconocimiento del habla"@es . "\u8BED\u97F3\u8BC6\u522B\uFF08speech recognition\uFF1B\u8A9E\u97F3\u8FA8\u8B58\uFF0F\u8A00\u8A9E\u8FA8\u5225\uFF09\u6280\u672F\uFF0C\u4E5F\u88AB\u79F0\u4E3A\u81EA\u52A8\u8BED\u97F3\u8BC6\u522B\uFF08\u82F1\u8BED\uFF1AAutomatic Speech Recognition, ASR\uFF09\u3001\u96FB\u8166\u8A9E\u97F3\u8B58\u5225\uFF08\u82F1\u8BED\uFF1AComputer Speech Recognition\uFF09\u6216\u662F\u8A9E\u97F3\u8F49\u6587\u672C\u8B58\u5225\uFF08\u82F1\u8BED\uFF1ASpeech To Text, STT\uFF09\uFF0C\u5176\u76EE\u6807\u662F\u4EE5\u96FB\u8166\u81EA\u52D5\u5C06\u4EBA\u7C7B\u7684\u8BED\u97F3\u5185\u5BB9\u8F6C\u6362\u4E3A\u76F8\u61C9\u7684\u6587\u5B57\u3002\u4E0E\u8BF4\u8BDD\u4EBA\u8BC6\u522B\u53CA\u8BF4\u8BDD\u4EBA\u786E\u8BA4\u4E0D\u540C\uFF0C\u540E\u8005\u5C1D\u8BD5\u8BC6\u522B\u6216\u786E\u8BA4\u53D1\u51FA\u8BED\u97F3\u7684\u8BF4\u8BDD\u4EBA\u800C\u975E\u5176\u4E2D\u6240\u5305\u542B\u7684\u8BCD\u6C47\u5185\u5BB9\u3002 \u8BED\u97F3\u8BC6\u522B\u6280\u672F\u7684\u5E94\u7528\u5305\u62EC\u8BED\u97F3\u62E8\u53F7\u3001\u8BED\u97F3\u5BFC\u822A\u3001\u5BA4\u5185\u8BBE\u5907\u63A7\u5236\u3001\u8BED\u97F3\u6587\u6863\u68C0\u7D22\u3001\u7B80\u5355\u7684\u542C\u5199\u6570\u636E\u5F55\u5165\u7B49\u3002\u8BED\u97F3\u8BC6\u522B\u6280\u672F\u4E0E\u5176\u4ED6\u81EA\u7136\u8BED\u8A00\u5904\u7406\u6280\u672F\u5982\u673A\u5668\u7FFB\u8BD1\u53CA\u8BED\u97F3\u5408\u6210\u6280\u672F\u76F8\u7ED3\u5408\uFF0C\u53EF\u4EE5\u6784\u5EFA\u51FA\u66F4\u52A0\u590D\u6742\u7684\u5E94\u7528\uFF0C\u4F8B\u5982\u8BED\u97F3\u5230\u8BED\u97F3\u7684\u7FFB\u8BD1\u3002 \u8BED\u97F3\u8BC6\u522B\u6280\u672F\u6240\u6D89\u53CA\u7684\u9886\u57DF\u5305\u62EC\uFF1A\u4FE1\u53F7\u5904\u7406\u3001\u6A21\u5F0F\u8BC6\u522B\u3001\u6982\u7387\u8BBA\u548C\u4FE1\u606F\u8BBA\u3001\u53D1\u58F0\u673A\u7406\u548C\u542C\u89C9\u673A\u7406\u3001\u4EBA\u5DE5\u667A\u80FD\u7B49\u7B49\u3002"@zh . . . . . "\u97F3\u58F0\u8A8D\u8B58\uFF08\u304A\u3093\u305B\u3044\u306B\u3093\u3057\u304D\u3001\u82F1: speech recognition\uFF09\u3068\u306F\u3001\u4EBA\u9593\u306E\u58F0\u306A\u3069\u3092\u30B3\u30F3\u30D4\u30E5\u30FC\u30BF\u30FC\u306B\u8A8D\u8B58\u3055\u305B\u308B\u3053\u3068\u3067\u3042\u308A\u3001\u8A71\u3057\u8A00\u8449\u3092\u6587\u5B57\u5217\u306B\u5909\u63DB\u3057\u305F\u308A\u3001\u3042\u308B\u3044\u306F\u97F3\u58F0\u306E\u7279\u5FB4\u3092\u3068\u3089\u3048\u3066\u58F0\u3092\u51FA\u3057\u3066\u3044\u308B\u4EBA\u3092\u8B58\u5225\u3059\u308B\u6A5F\u80FD\u3092\u6307\u3059\u3002"@ja . . "Spraakherkenning"@nl . "Die Spracherkennung oder auch automatische Spracherkennung ist ein Teilgebiet der angewandten Informatik, der Ingenieurwissenschaften und der Computerlinguistik. Sie besch\u00E4ftigt sich mit der Untersuchung und Entwicklung von Verfahren, die Automaten, insbesondere Computern, die gesprochene Sprache der automatischen Datenerfassung zug\u00E4nglich macht. Die Spracherkennung ist zu unterscheiden von der Stimm- bzw. Sprechererkennung, einem biometrischen Verfahren zur Personenidentifikation. Allerdings \u00E4hneln sich die Realisierungen dieser Verfahren."@de . . . . . . . . . "\u0420\u0430\u0441\u043F\u043E\u0437\u043D\u0430\u0432\u0430\u043D\u0438\u0435 \u0440\u0435\u0447\u0438 \u2014 \u043F\u0440\u043E\u0446\u0435\u0441\u0441 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0440\u0435\u0447\u0435\u0432\u043E\u0433\u043E \u0441\u0438\u0433\u043D\u0430\u043B\u0430 \u0432 \u0446\u0438\u0444\u0440\u043E\u0432\u0443\u044E \u0438\u043D\u0444\u043E\u0440\u043C\u0430\u0446\u0438\u044E (\u043D\u0430\u043F\u0440\u0438\u043C\u0435\u0440, \u0442\u0435\u043A\u0441\u0442\u043E\u0432\u044B\u0435 \u0434\u0430\u043D\u043D\u044B\u0435). \u041E\u0431\u0440\u0430\u0442\u043D\u043E\u0439 \u0437\u0430\u0434\u0430\u0447\u0435\u0439 \u044F\u0432\u043B\u044F\u0435\u0442\u0441\u044F \u0441\u0438\u043D\u0442\u0435\u0437 \u0440\u0435\u0447\u0438."@ru . . "Rozpoznawanie mowy \u2013 technologia pozwalaj\u0105ca komputerowi lub innemu urz\u0105dzeniu interpretowa\u0107 mow\u0119 ludzk\u0105, na przyk\u0142ad do cel\u00F3w transkrypcji lub jako alternatywn\u0105 metod\u0119 interakcji. Dla j\u0119zyka polskiego (stan na rok 2008) dost\u0119pne s\u0105 programy rozpoznaj\u0105ce poprawnie 5-9 na 10 wypowiedzianych s\u0142\u00F3w mowy ci\u0105g\u0142ej (na wsp\u00F3\u0142czynnik ten, opr\u00F3cz jako\u015Bci algorytmu, wp\u0142ywaj\u0105 m.in. wyrazisto\u015B\u0107 i zrozumia\u0142o\u015B\u0107 mowy). Warto\u015Bci skuteczno\u015Bci system\u00F3w rozpoznawania mowy bardzo zale\u017C\u0105 od przyj\u0119tego scenariusza testu. Dlatego informacje liczbowe, wbrew intuicji, zwykle nie s\u0105 dobrym odzwierciedleniem jako\u015Bci takich system\u00F3w. Najskuteczniejsz\u0105 metod\u0105 jest por\u00F3wnanie dw\u00F3ch lub wi\u0119cej system\u00F3w na takim samym scenariuszu testowym. Jako\u015B\u0107 system\u00F3w mo\u017Ce jednak tak\u017Ce zale\u017Ce\u0107 od tego jak sygna\u0142 jest rejestrowany. Przyk\u0142adowo wiele z system\u00F3w oferowanych dla j\u0119zyka polskiego dzia\u0142a du\u017Co gorzej dla sygna\u0142u z sieci GSM. Og\u00F3lnie nale\u017Cy przyj\u0105\u0107, \u017Ce rozpoznawanie mowy polskiej dzia\u0142a poprawnie tylko dla pojedynczych s\u0142\u00F3w lub dla ustalonych zbior\u00F3w scenariuszy dialog\u00F3w (stan na marzec 2014). Pr\u00F3g komercyjnej akceptowalno\u015Bci system\u00F3w rozpoznawania mowy zwykle przyjmuje si\u0119 jako 95% poprawno\u015Bci rozpoznania."@pl . . . . . . . . "25\u0628\u0643 \u0627\u0644\u0645\u062D\u062A\u0648\u0649 \u0647\u0646\u0627 \u064A\u0646\u0642\u0635\u0647 \u0627\u0644\u0627\u0633\u062A\u0634\u0647\u0627\u062F \u0628\u0645\u0635\u0627\u062F\u0631. \u064A\u0631\u062C\u0649 \u0625\u064A\u0631\u0627\u062F \u0645\u0635\u0627\u062F\u0631 \u0645\u0648\u062B\u0648\u0642 \u0628\u0647\u0627. \u0623\u064A \u0645\u0639\u0644\u0648\u0645\u0627\u062A \u063A\u064A\u0631 \u0645\u0648\u062B\u0642\u0629 \u064A\u0645\u0643\u0646 \u0627\u0644\u062A\u0634\u0643\u064A\u0643 \u0628\u0647\u0627 \u0648\u0625\u0632\u0627\u0644\u062A\u0647\u0627. 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"Rozpoznawanie mowy"@pl . .