You can use the output buffer, then call the Translate() function again, starting at this original ending position, to continue the translation where you left off. In this case, the Translate() function breaks the translation at the end of a word in the input stream and returns the position in the input stream at which the translation ended. If you receive a non-zero return code, you haven't provided enough output buffer space to hold the entire translation. The input string will be translated into its phonetic equivalent and can be used to feed the narrator device. ![]() RtnCode = ITranslator ->Translate (EnglStr, EnglLen, (STRPTR )PhonBuffer, BUFLEN ) LONG rtnCode /* return code from function */ĮnglStr = "This is Amiga speaking." /* a test string */ UBYTE PhonBuffer /* place to put the translation */ STRPTR EnglStr /* pointer to sample input string */ To use the Translate() function, you must first open the translator library and obtain a pointer to its main interface: You don't have to use the narrator to say the phonetic strings you could use them instead for phonetic analysis or some other special purpose. The two subsystems may also be used individually. You may then pass this phonetic string to the narrator device which will say the string using the Amiga's audio hardware. The translator library provides a single function, Translate(), that converts an English language string into a phonetic string. To fully understand how speech is produced on the Amiga, you should also read Narrator Device. Also, they may not be useful for an offline application.This article describes the translator library which, together with the narrator device, provides the Amiga's text-to-speech capability. They are not free and you may need to check their pricing to see if they have a free tier. There are many such cloud Application Programming Interfaces (APIs), cloud services and speech recognition softwares that are commercially available today (including Amazon), that provide automatic speech recognition and translation that can be included in your web app or mobile app. Google Translate is another option that can be used for the same purpose. In return, we receive a string containing the translated text. We then call the translate method on translator object with the text as the argument. The above code involves importing the translator class and initializing it with the output language. The transcribed text can be utilized to get a much deeper understanding of the data. The ability to translate a language from one to another is useful for many applications in the field of Natural Language Processing (NLP) and also provides access to otherwise inaccessible knowledge and information. ![]() The audio returned is then passed to a method that utilizes Google’s Speech to Text engine to return the transcript in the form of a string. Next you initialize the microphone device and listen to it. The basic syntax involves importing the sr class from the speech recognition module and initializing the Recognizer object. ![]()
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