![]() ![]() To get information about which voices are One of the other installed voices, call the SelectVoice or To configure a SpeechSynthesizer instance to use A SpeechSynthesizer instance initializes to Installed speech synthesis engines are represented by a voice, forĮxample Microsoft Anna. Speech synthesis engine that is installed on the host computer. The SpeechSynthesizer class provides access to the functionality of a Note that you will likely need to add a reference to. This functionality exists in the main Class Library in the System.Speech namespace. SpeechSynthesizer synthesizer = new SpeechSynthesizer() You can invoke all of this processing with a single function call. ![]() This eliminates the need to create your own speech engines. The text-to-speech capabilities described above are built into the Windows Vista and Windows 7 operating systems, allowing applications to easily use this technology. The effectiveness of the back end depends on how good it is at selecting the appropriate sound segments for any given input and smoothly splicing them together. Modern synthesizers, such as the one in Windows Vista and Windows 7, use a database of sound segments built from hours and hours of recorded speech. Older synthesizers (and today's synthesizers with the smallest footprints) generate the individual sounds algorithmically, resulting in a very robotic sound. It takes the analysis done by the front end and, through some non-trivial analysis of its own, generates the appropriate sounds for the input text. So, as you can imagine, the front end must do some very sophisticated analysis. To further complicate matters, the rules are slightly different for each language. ![]() Clearly, understanding how a word or phrase is being used is a critical aspect of interpreting text into sound. Consider that in English, a question usually ends with a rising pitch, or that the word "read" is pronounced very differently depending on its tense. For instance, which words are proper nouns, numbers, and so forth where sentences begin and end whether a phrase is a question or a statement and whether a statement is past, present, or future tense.Īll of these elements are critical to the selection of appropriate pronunciations and intonations for words, phrases, and sentences. This front end also figures out grammatical details like functions and parts of speech. It analyzes a string of characters to determine where the words are (which is easy to do in English, but not as easy in languages such as Chinese and Japanese). The front end specializes in the analysis of text using natural language rules. The easiest way to imagine how this works is to picture the front end and back end of a two-part system. Speech synthesis is also referred to as text-to-speech (TTS).Ī synthesizer must perform substantial analysis and processing to accurately convert a string of characters into an audio stream that sounds just as the words would be spoken. Speech synthesis is often referred to as text-to-speech or TTS.Ī speech synthesizer takes text as input and produces an audio stream as output. Generate speech, respond to events, and modify voice characteristics. To initialize and configure a speech synthesis engine, create prompts, The namespace contains classes that allow you ![]()
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