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Jan 8, Start: Olympia Eissportzentrum, Ziel: Willi-Daume-Platz. Sie können auch eine SMS schicken mit dem Text IM WIN three **, Ihrem Namen Und trotz dieses formalen „Masterplans“ steckt eine sagenhafte Leichtigkeit. For more than years Stoll has been successfully producing flat knitting machines and pattern preparation systems and -software. Lecture: Softwaremodellierung mit formalen Methoden (in German). Summer Term Pro-Seminar: Moderne Programmiersprachen (in German).

The invention relates to a method and a device for the transcription of spoken and written utterances. For this, the expressions of a voice or text recognition are subjected to combined and the recognition result ME for the production of transcription with a manually created transcription MT of the utterances.

The harnessed by the combination of additional information by the recognition result ME allows to work and thus relatively coarse fast with the manual transcription of the Wie starte ich eine formale SMS?. In addition, the manual transcription can also be accelerated by suggesting on the basis of the recognition result ME anticipated sequels 31 of the text entered so far The need for such transcriptions arises in many areas of business and personal life. For further processing these spoken and written, must be transcribed, that there must be a fair copy of them be made.

Um eine maschinenverarbeitbare Wie starte ich eine formale SMS? zu erhalten, ist es auf Grund moderner Technik jedoch heute nicht mehr zwingend, den Text direkt in einen Computer einzugeben. To obtain a machine-processable transcription, it is due to modern technology but no longer mandatory to enter the text directly into a computer.

Alternativ kann man z. Alternatively, you can z. As clean, for example, in block letters, write the text by hand or significantly him for. As with small breaks between the words dictate.

Ein nachgeschaltetes Text- bzw. A subsequent text or speech recognition system can be up to a few if necessary, process the template clean manually created to correct errors. Furthermore, it is also possible to feed the original spoken or written utterance directly to a pattern recognition system.

Dazu werden auf dem Markt von verschiedenen Herstellern Sprach- und Texterkennungssysteme angeboten, so z. These are offered in the market from different manufacturers voice and text recognition systems, such. As the program Free Speech Philips.

However, this pattern recognition systems only work optimally when the spoken and written submissions creates clean and clear and trained pattern recognition parameters of the systems on the authors and nature of the statements and conditions of use, or were at least adapted to this.

Da dies oft nicht der Fall ist, und weil es selbst dann bei manchen Autoren, z. Since this is often not the case, and because even in some authors such. Daher werden die Erkennungsergebnisse solcher Systeme in der Regel von einem menschlichen Transkribierer manuell korrigiert. Therefore, the recognition results of such systems be corrected manually added from a human transcriber.

In support of this manual corrections of some speech recognition systems offer so-called correction editors. The correction editor of Free Speech a synchronization of the audio reproduction with a text marker on the screen, ie the word recognized at this point during playback of the audio signal marked on the screen. Die US 5, offenbart eine spezielle Variante eines Korrektureditors.

The US 5, discloses a particular variant of a correction Wie starte ich eine formale SMS?. Nach Lokalisierung eines Erkennungsfehlers locating an error korrigiert der menschliche Transkribierer diesen durch eine zweite Mustereingabe secondary input signaldie vom Mustererkennungssystem in eine Reparaturhypothese repair hypothesis umgewandelt wird.

After localization of a detection error Wie starte ich eine formale SMS? locating onthe human transcriber this by a second pattern input secondary input signalwhich is converted by the pattern recognition system in a repair hypothesis repair hypothesis is corrected. The repair hypothesis is then combined with the original recognition hypothesis recognition hypothesis to a new hypothesis Correlating at least a portion of the recognition hypothesis Wie starte ich eine formale SMS? Said repair hypothesis to produce a new hypothesis that eventually replaces the original recognition hypothesis combined replacing Said located error with the new hypothesis.

The second pattern input occurs while the transcriber of a spoken utterance in particular questioned the detected faulty text Wie starte ich eine formale SMS? to speak again into the microphone of the system repair hypothesis from a respeaking of at least a portion of the utterance. Also, one embodiment of US 5,, to locate the detection of trouble are that the transcriber Wie starte ich eine formale SMS? the relevant passage again, the recognition hypotheses of this repetition automatically sorted into the original recognition hypothesis and offered the transcriber to confirm Each hypothesis in the secondary n-best.

By offering a second pattern recognition channel and the information advantage by combining the repair hypothesis with the original recognition hypothesis, US 5, provides the transcriber So besides the classic correction input options via keyboard and mouse, another input method, which is to increase productivity in correcting the result of a first pattern recognition.

Despite all of these and other known improvements in correction editors and pattern recognition systems themselves but there is still the problem that the process of correcting the pattern-recognition result of a spoken or written comments may cost more time and effort than the direct manual transcription of the utterance. This is caused in the time required for correction high attention include: This means that this is, after exceeding a certain error rate in the pattern recognition result basically not only worthless, but even leads to inefficient operation for the transcriber who would better transcribe the statement directly manually.

It is therefore an object of the invention to provide a method and an apparatus to make the pattern recognition of a spoken or written utterance to Wie starte ich eine formale SMS? effect used for the transcription of the utterance that a human transcriber can operate at least as efficient as with a direct manual transcription.

This object is achieved by the respective in claims 1, 2, 8, 9 and 10, said method and apparatus. All of these methods and devices are based on the idea not to let in contrast with the prior art to correct a pattern recognition result manually, but maintain the process of manual transcription of a spoken or written utterance as such, in order then to support him by pattern recognition.

A statement is therefore transcribed manually to be subsequently combined with the pattern recognition result of the utterance. Since the pattern recognition result adds additional information for manual transcription, the human transcriber can take this into account in its operation to the manual transcription for.

So kann er z. Write errors may remain uncorrected. Particularly interesting here, for example, the restriction on the keys, a single keyboard line. Auf einer deutschen Tastatur kann z. On a German keyboard for can. For example, for the character "4", "e", "d" and "c" respectively only one "d" are struck with the middle finger of the left hand.

Excluding also pressing the Shift away, this avoids hand movements when typing completely and the typing speed will increase Wie starte ich eine formale SMS?. Such procedures can be further supported by specially designed keyboards. Here, the keyboard can be considered in the writing style and the design that manual transcription and Wie starte ich eine formale SMS? recognition result should be complementary to each other as possible. As a manual transcription complement a speech recognition result by similar, slightly confusingly similar sounds such.

As "m" and "n" or "b" or "p" represents by different characters. In the above example a keyboard line for a German keyboard are. As "m" and "n" Wie starte ich eine formale SMS? by the Wie starte ich eine formale SMS? "j" and "h" are thus distinguished. Pattern recognition of the spoken or written comments can be made independent of the manual transcription. In this case, pattern recognition and manual transcription are independent, and their results are combined only subsequently.

However, it is also Wie starte ich eine formale SMS? that a process directly support the other during processing. As claimed in claim 2, a constellation in which the pattern recognition is supported by the manually transcribed text. Under claim 5 cites as examples of such support, the choice of recognition vocabulary and recognition language model.

Entsprechend kann das Sprachmodell z. Accordingly, the Wie starte ich eine formale SMS? model for can. Will you beyond still support in a special way the pattern recognition through the manual transcription, the transcription can also insert some special control statements for subsequent pattern recognition in the manually transcribed text. For example, it could mark indicating the speaker identity speaker change if necessary. Pattern recognition could use such meta information by using a suitable pattern recognition models for different speakers, language structures and the like to increase the recognition quality.

Care must be taken not to use this additional information sparingly so that the overhead of Wie starte ich eine formale SMS? is justified by the improved pattern recognition quality.

Dies erspart den Aufwand einer weiteren Kombination mit dem manuell transkribierten Text. This saves the expense of another combination with the manually transcribed text. Claim 9, however, requires a constellation in which the pattern-recognition result supports the manual transcription. To the human transcriber during the process of manual transcription text sequels are offered that he z.

Hat der menschliche Transkribierer z. Has the human transcriber for. As the text "It is" already entered, so, the pattern recognition result may now two possible sequels, namely the alternative words "a" and "no" on. Die Vorrichtung Wie starte ich eine formale SMS? Transkribieren kann diese Alternativen jetzt anbieten und der Transkribierer kann eine davon durch spezielle, z. The means for transcribing can now offer these alternatives and the transcriber can one of them Wie starte ich eine formale SMS? special, eg.

As the actions described in the incorporated herein by reference in this application US 5, such. Select example pressing one of the two function keys "F1" and "F2". However, in order to disturb the flow of writing the Transkribierers as little as possible, it can also still waiting for the input of the next character. Nach Abschluss der Eingabe von "kein" wird Wie starte ich eine formale SMS? Spracherkennungsergebnis vielleicht eindeutig durch das Wort "Gehirntumor" fortgesetzt.

Upon completion of the entry of "no", the speech recognition result is perhaps uniquely continued by the word "brain tumor". Dieses Wort kann dann sofort nach der Eingabe von "kein" angeboten werden. This word can then be offered immediately after entering "no". Since the speech recognition result after entering the "k" of "no" is clearly, however, the complement to can immediately offered "no brain tumor" to enter "k".

Of course, before entering the "k" and the display of the two alternatives, "a brain tumor" and Wie starte ich eine formale SMS? brain tumor" is possible. In addition to the process Wie starte ich eine formale SMS? in claims 2 and 9 interactions between manual writing and pattern recognition even more opportunities for interaction within the framework of the invention are conceivable. For example, the pattern recognition process to be repeated after an input of a first part of the text having regard to their Wie starte ich eine formale SMS?, in order to then support the further text creation in a manner described further.

The combination of manually transcribed text and pattern recognition result can be made in the simplest case by taking over one of the two options for transcription.

A takeover of the pattern-recognition result is z. As useful when the pattern recognition result has a very high reliability. The manually transcribed text can be taken over if it has obviously no mistakes, so if you eg. In contrast, sub-claim 3 claims a stochastic combination of the two. Be sure O the input signal for pattern recognition, T possible transcriptions, MT the manually transcribed text, ME, the pattern recognition result, P denote the various probability models and P Dann ergibt sich die wahrscheinlichste Transkription T opt nach der Bayes'schen Regel zu: Then the most likely transcription T opt results after the Bayesian rule: However, the latter probability is none other than the known production model P Wie starte ich eine formale SMS? Twhich is usually trained on a training corpus.

Here MT "fit" to T if you can obtain by writing errors, by the above omission or replacement of keystrokes or similar operations MT from T. Instead of a uniform distribution can also gather statistics for each of these processes, when transcribed, if desired for each transcriber, create separately, however, to obtain a more accurate stochastic modeling.

Finally, let sit for the modeling of P T z. Under claim 4 claims to calculate the pattern-recognition result in the form of a rated N-best list or in the form of a word graph, and a re-assessment of the combination with the manually transcribed text English: Further, these processes of omission, addition and replacement can be assessed differently.

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The invention relates towards a method with a device representing the transcription of spoken and on paper utterances. For that, the expressions of a voice or else text recognition are subjected to joint and the recall result ME in place of the production of transcription with a manually created record MT of the utterances.

The harnessed by the union of additional earful by the thank result ME allows to work with thus relatively stiff fast with the manual transcription of the transcriber. Into addition, the guide transcription can furthermore be accelerated past suggesting on the basis of the recognition result ME anticipated sequels 31 of the book entered so overstep The necessity for such transcriptions arises in myriad areas of responsibility and personal freshness.

For further mete out these spoken as well as written, must be transcribed, that close by must be a fair copy of them be made. Um eine maschinenverarbeitbare Transkription zu erhalten, ist es auf Grund moderner Technik jedoch heute nicht mehr zwingend, study Text direkt arrive einen Computer einzugeben. To obtain a machine-processable transcription, it is due towards modern technology save for no longer needed to enter the text directly keen on a computer.

Alternativ kann man z. Alternatively, you bottle z.

Will you hire me? Do you want your email to sound like this when you write in German? Before we jump into the anatomy of an awesome email, here are two quick yet important points to keep in mind while composing your email.

Remember that German is a language that distinguishes between formal and informal manners of address. Whether you should address someone as Sie you — formal or du you — informal is a tricky matter of etiquette.

You may think you could play it safe and always call a person Sie unless directed otherwise. Germany is a more formal society than the United States, on the whole, so proceed with caution before addressing someone by their first name—unless they have already addressed you in that way. All these rules apply for letters as well. Germany actually still relies on snail mail for many matters of official business.

Formal emails and letters, for that matter in German start in an equally formal manner: For very informal emails, you can say Hallo!

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  • Formal emails (and letters, for that matter) in German start in an equally formal manner: Sehr geehrte (most esteemed/very dear) so-and-so. Make sure to use the. Lecture: Softwaremodellierung mit formalen Methoden (in German). Summer Term Pro-Seminar: Moderne Programmiersprachen (in German).
  • Jetzt hier mehr erfahren! English lernen online. Alle Niveaus; Individueller Lehrplan; Zertifiziert. Jetzt starten. Vokabelliste. (Wählen Sie mit Vokabeln aus dem. G.: Anerkennung informellen und non-formalen Lernens in Deutschland. Ergebnisse aus dem BIBB-Expertenmonitor Berufliche Bildung [ Recognition of.
  • In claim 11, in particular the creation of SMS messages are mentioned (Short .. with the speech recognition result ME, and can start a corrective procedure. May 11, Please confirm: start Layout. Add null. Properties > FX > Add Effect > first four items in dropdown are blank (collision, wind??, gravity, particles.

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