PHONEXIA CAN I HAVE IT IN WRITING?
MATERIÁLY PRO UČITELE
Our company was established in year 2006. We focus on speech technologies. We develop speech technologies such as voice recognition, speech recognition what means speech transcription and also key words spotting and language identification, gender identification. The voice recognition and language and gender recognition is language independent so we focus on US market, European market but as well as Czech market. The speech recognition is quite general term. We can speak about voice recognition or speech recognition in terms of transcription. If students want to focus on this, this is lot of mathematics, statistics and studying of signals. First is Czech obviously, the second is English. The English language version is trained on non-native speakers, which is quite interesting for the world because most of the engines are trained on native speakers therefore it fails with non-native speakers. The English version contains 50.000 words but the Czech version contains one million of Czech words. This is given by the language. Each technology can be used separately or together with other engines. I would start with the voice recognition or, let’s say, speaker recognition. You can use it in a task, let’s say, voice as a password, for example. You can call somewhere to some call centre and the call centre can recognize yourself by your voice. The second easy-to-use application is speech transcription. Everyone can imagine dictation that the voice will be transcribed automatically to text. But also it can be used for multimedia indexing. For example, Internet is full of video and audio files, so you can use the technology to transcribe automatically video and audio content and therefore it will be useful for search robots, search engines to appear it in the list of search results. I would mention also the project called Přednášky.com, you can find it on Internet. This is a project of Brno University of Technology. They recorded the lessons from Bachelor degree studies and every user can type any word - Furrier transformation, for example and system will find this word or this phrase in video content and give you the research results. The second example might be Superlectures.com, which is quite similar project. But this project focus on conference, on organizator of conferences. So the conference can be recorded to video or audio files and these files can be transcribed automatically so it would be searchable for any user. You can find it on Internet.
Naše firma byla založena v roce 2006. Zaměřujeme se na řečové technologie. Vyvíjíme řečové technologie, jako je rozpoznávání hlasu, rozpoznávání řeči, což znamená přepis řeči a vyhledávání klíčových slov, identifikaci jazyka a pohlaví. Rozpoznání hlasu a pohlaví nezávisí na jazyce, takže se soustřeďujeme na trhy v USA, v Evropě, ale taky v ČR. Rozpoznání řeči je docela obecný pojem. Dá se mluvit o rozpoznání hlasu nebo řeči co do přepisu. Jestli se studenti chtějí tomuto oboru věnovat, je to spousta matematiky, statistiky a studium signálů. První je pochopitelně čeština a angličtina je druhá. Anglická verze se nacvičuje na nerodilých mluvčích, což je docela zajímavé pro svět, protože většina vyhledavačů je uzpůsobena rodilým mluvčím, a proto u nerodilých selhává. Anglická verze obsahuje 50.000 slov, ale česká verze obsahuje milión českých slov. To je dáno samotným jazykem. Každá technologie se dá použít samostatně nebo v kombinaci s jinými vyhledavači. Začal bych s rozpoznáváním hlasu nebo, řekněme, rozpoznáváním řeči. Dá se využít jako hlasové heslo, například. Můžete se dovolat do nějakého call centra a oni vás tam podle hlasu poznají. Další uživatelsky snadná aplikace je přepis řeči. Každý si umí představit diktát, kde se hlas automaticky přepíše do textu. Také se to dá využít na indexaci multimédií. Internet je například plný audio a video souborů, takže tu technologii můžete použít k automatickému přepisu jejich obsahu, což je užitečné pro vyhledávací roboty a vyhledavače, které jej začlení do výsledků hledání. Také bych zmínil projekt s názvem Přednášky.com, který můžete najít na internetu. Je to projekt Technické Univerzity v Brně. Zaznamenali přednášky bakalářského programu a každý uživatel může napsat jakékoli slovo – Furrierova transformace, například, a ten systém toto slovo vyhledá v obsahu videa a předloží vám jej ve výsledcích hledání. Druhým příkladem by mohlo být Superlectures.com, což je docela podobný projekt. Ale tento projekt se zaměřuje na konference a jejich organizátory. Takže konference se dá zaznamenat do audio či video souboru a tyto soubory se dají automaticky přepsat, takže budou na internetu vyhledatelné pro každého uživatele. Dají se najít na internetu.
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EXERCISE 1 Discuss and share your answers to the following questions: 1. When you have English lessons listening to spoken English, does a transcript of the text help you while listening? How so? Are there times when it is difficult and times when is it easy for you? Explain under what circumstances English speech is difficult to understand (e.g. intonation, accents, native speakers, etc.) 2. If you watch a film in English, do you usually watch it with the subtitles on? Do you ever watch the news with closed caption transcriptions? Can reading text while someone is talking interfere with your experience of other communications such as gestures, or facial nuances? 3. Have you ever used any automatic speech or voice recognition software? Have you ever used an Internet site that has voice to text or text to voice transcription capability available? If so, describe your experience.
EXERCISE 2 Are these statements TRUE or FALSE? The technology of the company is able to recognize if a speaker is a man or a woman. They cannot sell their product abroad because it is only relevant for the Czech market. If you want to study the field of speech recognition, you should expect a lot of math and statistics. Search engine software trained on non-native speakers are useless for native speakers. The technology enables you to use your voice as a password. If you are able to transcribe video and audio files, they can be included in search results of search engines. Superlectures.com serves mainly bachelor programme students.
EXERCISE 3 Listen and fill in the missing text. 1. Our company was established in year . We focus on speech technologies. We develop technologies such as voice recognition, speech recognition what (it) means (for) speech transcription and also key words spotting and language identification, gender identification. 2. The language version is trained on speakers, which is quite interesting for the world because most of the engines are trained on native speakers therefore it fails with speakers. The version contains 50.000 words but… 3. You can use it in a task, let’s say, voice as a password, for example. 4. For example, (the) is full of video and audio files, so you can use the technology to transcribe video and audio content and therefore it will be useful for search , search engines to appear it in the list of search . 5. I would mention also the project called Přednášky.com, (that) you can find it on Internet. This is a project of Brno University of Technology. They recorded the lessons from Bachelor degree studies and every user can - Furrier transformation, for example and (the) system will this word or this phrase in content and give you the results. 6. The second example might be , which is quite (a) similar project. But this project focus(es) on , on (the) of conferences. So the conference can be to or and these files can be automatically so it would be for any user.
EXERCISE 4 Match the following English expressions with their Czech equivalent. 1. SEARCH ENGINE
A) ZALOŽIT
9. MENTION
I) ÚLOHA
2. CONTAIN
B) OBSAH
10. BACHELOR
J) OBSAHOVAT
3. CONTENT
C) ŘEČ
11. ESTABLISH
K) ROZPOZNÁNÍ
4. TRANSCRIBE
D) SELHAT
12. SPEECH
L) DOHLEDATELNÝ
5. RECOGNITION
E) HESLO
13. SPOT
M) POHLAVÍ
6. GENDER
F) SPATŘIT, VŠIMNOUT SI
14. TASK
N) ZMÍNIT
7. FILE
G) SOUBOR
15. PASSWORD
O) VYHLEDAVAČ
8. SEARCHABLE
H) BAKALÁŘ
16. FAIL
P) PŘEPSAT
PHRASE BOOK Use the vocabulary list to develop questions you could ask the Manager in a mock interview. With a partner, take turns being the Manager. Role play asking and answering your questions. CUSTOMIZATION
The programming capability to adapt technological systems to user demands.
INTERFACE
The technology by which sound, text, or visuals are represented and transmitted across platforms, devices, and systems of use.
MOBILE DICTATION
Software for mobile phones with speech recognition capability to convert sound into text.
MULTI-MODAL
Audiovisual term which refers to different kinds of media.
TO MENTION
To speak about something. The speaker is considering what information should be given within the context of the topic.
PASSWORD
A set of letters and or numbers in combination that is chosen as a private pincode to open access to a particular file or data within a technological application which operates.
SMART TVS
Intelligent systems that integrate data processing features such as speech recognition software for automatic transcription of voiced text with other television viewing options.
EXERCISE 5 TRANSCRIPTION CONTEST Watch the first 60 seconds of the video twice. While you watch, try to transcribe what you hear. Then compare your results with the video script. Who managed to write most of the text without mistakes? What strategy proved to be the most efficient? Discuss with your classmates
EXERCISE 6 GRAMMAR AND SYNTAX TEST 1. The speaker in the video said: “But also it can be used for multimedia indexing.” a. The position of the word also in the sentence is wrong. Which of the following sentences are correct? A) But it also can be used for multimedia indexing. B) But it can also be used for multimedia indexing. C) But it can be also used for multimedia indexing? 2. Look at the following sentences. Which of them uses the word also in a correct place? A) I have a brother also. B) I have also a brother. C) I also have a brother. 3. Fill in the rules. A) We put also between the subject and the verb. B) If there are two or more verbs in a sentence, we put also between the
two.
4. Insert also into the following sentences. A) I can be the best student in the class. B) I lived in Prague. C) My computer has been stolen. D) She has a lot of time at the moment. 5. Make sentences using the content of the video with the following vocabulary words and phrases: voice recognition, searchable, gender, transcribe, establish, speech, password, interface, multimodal, and customize.
WHILE YOU WATCH EXERCISE 2 1. TRUE, 2. FALSE, 3. TRUE, 4. FALSE, 5. TRUE, 6. TRUE, 7. FALSE EXERCISE 3 1.
Our company was established in (the) year 2006. We focus on speech technologies. We develop speech technologies such as voice recognition, speech recognition what (it) means (is) speech transcription and also key words spotting and language identification, gender identification.
2.
The English language version is trained on non-native speakers, which is quite interesting for the world because most of the engines are trained on native speakers therefore it fails with non-native speakers. The English version contains 50.000 words but…
3.
You can use it in a task, let’s say, voice as a password, for example.
4.
For example, Internet is full of video and audio files, so you can use the technology to transcribe automatically video and audio content and therefore it will be useful for search robots, search engines to appear it in the list of search results.
5.
I would mention also the project called Přednášky.com, (that) you can find it on (the) Internet. This is a project of Brno University of Technology. They recorded the lessons from Bachelor degree studies and every user can type any word - Furrier transformation, for example and (the) system will find this word or this phrase in video content and give you the research results.
6.
The second example might be Superlectures.com which is quite (a) similar project. But this project focus(es) on conference(s), on (the) organization of conferences. So the conference can be recorded to video or audio files and these files can be transcribed automatically so it would be searchable for any user.
AFTER YOU WATCH EXERCISE 4 1O, 2J, 3B, 4P, 5K, 6M, 7G, 8L, 9N, 10H, 11A, 12C, 13F, 14I, 15E, 16D
AFTER YOU WATCH EXERCISE 6 1.
B
2.
C
3.
A) We put also between the subject and the verb. B) If there are two or more verbs in a sentence, we put also between the first two.
4.
A) I can ALSO be the best student in the class. B) I ALSO lived in Prague. C) My wallet has ALSO been stolen. D) She ALSO has a lot of time at the moment.
5.
Phonexia works with the development and use of voice recognition technologies. The use of searchable keywords can be processed by text or speech. New voice recognition software is able to distinguish between genders. The possibility to transcribe lectures and conferences greatly disseminates the content to more than just the group of people who attended. New technologies establish new possibilities for interactivity. The voice recognition software can recognize speech for text or a command. Access to the company’s database requires a password. It is possible to use speech recognition software inside of television sets for a new kind of interface. Today’s technologies are becoming integrated and multimodal. Phonexia offers its customers the possibility to customize their technology to the users’ needs.
