Unified speech services for speech-to-text, text-to-speech and speech translation
The unified Speech services provide a wide range of speech recognition and generation capabilities including speech transcription, text-to-speech and speech translation. The Speech service provides a wide range of speech recognition and generation capabilities, including speech transcription, text-to-speech, speech translation and speaker recognition.
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US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment or directly through a pay-as-you-go online subscription.
Important: The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued.
Azure Germany is available to customers and partners who have already purchased this, doing business in the European Union (EU), the European Free Trade Association (EFTA) and in the United Kingdom (UK). It provides data residency in Germany with additional levels of control and data protection. You can also sign up for a free Azure trial.
| Instance | Category | Features | Price |
|---|---|---|---|
| Free - Web/Container 1 concurrent request1 |
Speech-to-Text | Standard2 | 5 audio hours free per month |
| Custom |
5 audio hours free per month Endpoint hosting: 1 model free per month 3 |
||
| Conversation transcription multi-channel audio PREVIEW 4 | 5 audio hours free per month | ||
| Text to Speech | Standard | 5 million characters free per month | |
| Neural | 0.5 million characters free per month | ||
| Custom |
5 million characters free per month Endpoint hosting: 1 model free per month |
||
| Speech translation | Standard | 5 audio hours free per month | |
| Speaker Recognition 8 | Speaker verification | 10,000 free transactions per month | |
| Speaker identification | 10,000 free transactions per month | ||
| Voice storage | 10,000 free transactions per month | ||
| Standard - Web/Container 100 concurrent requests for Base model 20 concurrent requests for Custom model1 |
Speech-to-Text | Standard2 | $- per audio hour |
| Custom |
$- per audio hour Endpoint hosting: $- per model per hour |
||
| Conversation transcription multi-channel audio PREVIEW 4 | $- per audio hour 5 | ||
| Text to Speech | Standard | $- per 1M characters | |
| Neural |
$- per 1M
characters 6 Long audio creation: $- per 1M characters |
||
| Custom |
$- per 1M characters Endpoint hosting: $- per model per hour 9 |
||
| Custom Neural 7 |
Training: $- per compute hour, up to $- per training session Real-time synthesis: $- per 1M characters Endpoint hosting: $- per model per hour Long audio creation: $- per 1M characters |
||
| Speech translation | Standard | $- per audio hour | |
| Speaker Recognition 8 | Speaker verification | $- per 1,000 transactions | |
| Speaker identification | $- per 1,000 transactions | ||
| Voice storage | $- per 1,000 voice profiles (10,000 free voice profiles per month) |
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Speech Services details
Learn more about Speech Services features and capabilities.
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Documentation
Review technical tutorials, videos and more Speech Services resources.
Frequently asked questions
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- For Speech Translation, Speech to Text, and Speech to Text with Custom Speech Model: usage is billed in one-second increments.
- For Text to Speech with Neural or Custom Neural Voices: usage is billed per character. Check the definition of character in the pricing note.
- For Custom Speech Model Hosting: usage is billed hourly; For Custom Voice Font Hosting: usage is billed daily.
- For Custom Commands: billing is tracked as consumption of Speech to Text, Text to Speech, and Language Understanding. Custom Commands does not introduce new billing meters.
- There is no charge for training Speech models. The only costs are hosting the model once trained, and then the cost per hour of speech transcription.
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The Speech service enables users to adapt baseline models based on their own acoustic and language data, leading to custom speech models that can be used against both Speech to Text and Speech Translation.
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The language model is a probability distribution over sequences of words. The language model helps the system to decide among sequences of words that sound similar, based on the likelihood of the word sequences themselves. For example, “recognize speech” and “wreck a nice beach” sound alike but the first hypothesis is far more likely to occur, and therefore will be assigned a higher score by the language model. If you expect voice queries to your application to contain particular vocabulary items, such as product names or jargon that rarely occur in typical speech, it is likely that you can obtain improved performance by customising the language model. For example, if you were building an app to search MSDN by voice, it’s likely that terms like “object-oriented”, “namespace” or “dot net” will appear more frequently than in typical voice applications. Customising the language model will enable the system to learn this.
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The acoustic model is a classifier that labels short fragments of audio into one of several phonemes, or sound units, in each language. These phonemes can then be stitched together to form words. For example, the word “speech” is comprised of four phonemes “s p iy ch”. These classifications are made on the order of 100 times per second. Customising the acoustic model can enable the system to learn to do a better job recognising speech in atypical environments. For example, if you have an app designed to be used by workers in a warehouse or factory, a customised acoustic model can more accurately recognise speech in the presence of the noises found in these environments.
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Speech service offers a wide range of text-to-speech (TTS) voice fonts; however, custom neural voice allows you to build your own custom voice that suits your needs and your brand. Read the blog for more information.
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There are scenarios in which a speaker or multiple speakers may speak multiple languages over the same audio file or live presentation. Continuous language detection allows you to identify a switch in spoken language and accurately transcribe speech accordingly. This feature will be free for private preview and can be accessed via the Speech SDK. Visit docs to learn more.
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