In certain systems, this part includes the computation of the target prosody (pitch contour, phoneme durations), which is then imposed on the output speech. The back-end-often referred to as the synthesizer-then converts the symbolic linguistic representation into sound. Phonetic transcriptions and prosody information together make up the symbolic linguistic representation that is output by the front-end. The process of assigning phonetic transcriptions to words is called text-to-phoneme or grapheme-to-phoneme conversion. The front-end then assigns phonetic transcriptions to each word, and divides and marks the text into prosodic units, like phrases, clauses, and sentences. This process is often called text normalization, pre-processing, or tokenization. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. Many computer operating systems have included speech synthesizers since the early 1990s.Ī text-to-speech system (or "engine") is composed of two parts: a front-end and a back-end. An intelligible text-to-speech program allows people with visual impairments or reading disabilities to listen to written words on a home computer. The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood clearly. Alternatively, a synthesizer can incorporate a model of the vocal tract and other human voice characteristics to create a completely "synthetic" voice output. For specific usage domains, the storage of entire words or sentences allows for high-quality output. Systems differ in the size of the stored speech units a system that stores phones or diphones provides the largest output range, but may lack clarity. Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database. The reverse process is speech recognition. A text-to-speech ( TTS) system converts normal language text into speech other systems render symbolic linguistic representations like phonetic transcriptions into speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. Speech synthesis is the artificial production of human speech. Replace with the deployment ID for your neural voice model.Problems playing this file? See media help. You can also use the following endpoints. If you've created a custom neural voice font, use the endpoint that you've created. Voices in preview are available in only these three regions: East US, West Europe, and Southeast Asia. Use this table to determine availability of neural voices by region or endpoint: Region Be sure to select the endpoint that matches your Speech resource region. These regions are supported for text to speech through the REST API. The cognitiveservices/v1 endpoint allows you to convert text to speech by using Speech Synthesis Markup Language (SSML). This status might also indicate invalid headers. There's a network or server-side problem. You have exceeded the quota or rate of requests allowed for your resource. Make sure your resource key or token is valid and in the correct region. A common reason is a header that's too long. Or, the value passed to either a required or optional parameter is invalid. HTTP status codeĪ required parameter is missing, empty, or null. The HTTP status code for each response indicates success or common errors. "LocaleName": "Chinese (Mandarin, Simplified)", "Name": "Microsoft Server Speech Text to Speech Voice (zh-CN, YunxiNeural)", "Name": "Microsoft Server Speech Text to Speech Voice (ga-IE, OrlaNeural)", "ShortName": "en-US-JennyMultilingualNeural", "Name": "Microsoft Server Speech Text to Speech Voice (en-US, JennyMultilingualNeural)", "Name": "Microsoft Server Speech Text to Speech Voice (en-US, JennyNeural)", This JSON example shows partial results to illustrate the structure of a response: [ The WordsPerMinute property for each voice can be used to estimate the length of the output speech. You should receive a response with a JSON body that includes all supported locales, voices, gender, styles, and other details. header 'Ocp-Apim-Subscription-Key: YOUR_RESOURCE_KEY' Here's an example curl command: curl -location -request GET '' \ Ocp-Apim-Subscription-Key: YOUR_RESOURCE_KEY This request requires only an authorization header: GET /cognitiveservices/voices/list HTTP/1.1 For more information, see Authentication.Įither this header or Ocp-Apim-Subscription-Key is required.Ī body isn't required for GET requests to this endpoint. This table lists required and optional headers for text to speech requests: HeaderĮither this header or Authorization is required.Īn authorization token preceded by the word Bearer. Voices and styles in preview are only available in three service regions: East US, West Europe, and Southeast Asia.
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