Speech Studio is a set of UI-based tools for building and integrating features from Azure AI Speech service in your applications. You create projects in Speech Studio by using a no-code approach, and then reference those assets in your applications by using the Speech SDK, the Speech CLI, or the REST APIs.
Captioning: Choose a sample video clip to see real-time or offline processed captioning results. Learn how to synchronize captions with your input audio, apply profanity filters, get partial results, apply customizations, and identify spoken languages for multilingual scenarios. For more information, see the captioning quickstart.
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Call Center: View a demonstration on how to use the Language and Speech services to analyze call center conversations. Transcribe calls in real-time or process a batch of calls, redact personally identifying information, and extract insights such as sentiment to help with your call center use case. For more information, see the call center quickstart.
Real-time speech to text: Quickly test speech to text by dragging audio files here without having to use any code. Speech Studio has a demo tool for seeing how speech to text works on your audio samples. To explore the full functionality, see What is speech to text.
Batch speech to text: Quickly test batch transcription capabilities to transcribe a large amount of audio in storage and receive results asynchronously, To learn more about Batch Speech-to-text, see Batch speech to text overview.
Custom speech: Create speech recognition models that are tailored to specific vocabulary sets and styles of speaking. In contrast to the base speech recognition model, Custom speech models become part of your unique competitive advantage because they're not publicly accessible. To get started with uploading sample audio to create a custom speech model, see Upload training and testing datasets.
Pronunciation assessment: Evaluate speech pronunciation and give speakers feedback on the accuracy and fluency of spoken audio. Speech Studio provides a sandbox for testing this feature quickly, without code. To use the feature with the Speech SDK in your applications, see the Pronunciation assessment article.
Voice Gallery: Build apps and services that speak naturally. Choose from a broad portfolio of languages, voices, and variants. Bring your scenarios to life with highly expressive and human-like neural voices.
Custom voice: Create custom, one-of-a-kind voices for text to speech. You supply audio files and create matching transcriptions in Speech Studio, and then use the custom voices in your applications. To create and use custom voices via endpoints, see Create and use your voice model.
Audio Content Creation: A no-code approach for text to speech synthesis. You can use the output audio as-is, or as a starting point for further customization. You can build highly natural audio content for various scenarios, such as audiobooks, news broadcasts, video narrations, and chat bots. For more information, see the Audio Content Creation documentation.
Custom Keyword: A custom keyword is a word or short phrase that you can use to voice-activate a product. You create a custom keyword in Speech Studio, and then generate a binary file to use with the Speech SDK in your applications.
Custom Commands: Easily build rich, voice-command apps that are optimized for voice-first interaction experiences. Custom Commands provides a code-free authoring experience in Speech Studio, an automatic hosting model, and relatively lower complexity. The feature helps you focus on building the best solution for your voice-command scenarios. For more information, see the Develop Custom Commands applications guide. Also see Integrate with a client application by using the Speech SDK.
Build voice-enabled generative AI apps confidently and quickly with the Azure AI Speech. Transcribe speech to text with high accuracy, produce natural-sounding text-to-speech voices, translate spoken audio, and use speaker recognition during conversations. Build faster with pre-built and customizable AI models in Azure AI Studio.
Quickly and accurately transcribe audio in more than 100 languages and variants. Gain customer insights with call center transcription, improve experiences with voice-enabled assistants, capture key discussions in meetings and more.
Use text to speech to create apps and services that speak conversationally. Create natural-sounding audio content, improve accessibility with read-aloud functionality, and create custom voice assistants.
Fine-tune synthesized speech audio to fit your scenario. Define lexicons and control speech parameters such as pronunciation, pitch, rate, pauses, and intonation with Speech Synthesis Markup Language (SSML) or with the audio content creation tool.
Differentiate your brand with a unique custom voice. Develop a highly realistic voice for more natural conversational interfaces using the Custom Neural Voice capability, starting with 30 minutes of audio.
After your voice clips are de-identified, voice clips are stored in a secure, encrypted server. We keep voice clips that have been contributed to be sampled and listened to for up to two years, during which time we may sample them. If we do sample a voice clip, we may keep it for longer than two years so that we can continue to train and improve our speech recognition models.
These new voice settings will be made available on a product-by-product basis. Various Microsoft products will be updating their voice data controls and settings over the coming months, including Microsoft Translator, SwiftKey, Windows, Cortana, HoloLens, Mixed Reality, and Skype voice translation. In the interim, without your permission, your voice clips will not be sampled to be listened to for product improvement.
This change does not impact all Microsoft products that integrate speech recognition technology. For example, Xbox, while it has voice features, does not currently plan to sample and listen to customer voice clips for the purposes of product improvement and will not be updating its voice settings.
Any voice clips you agree to contribute after October 30, 2020 will not be associated with your Microsoft account. Because of this, new voice data will no longer show up on your privacy dashboard. Microsoft will display voice data previously collected and associated with your Microsoft account on the privacy dashboard as long as we retain a copy.
While your voice clips are no longer associated with your account, information associated with your voice activity may still be used by Microsoft products in accordance with their terms of use and may be associated with your Microsoft account. To view or clear other activity data associated with your Microsoft account, be sure to review the activity data section of your privacy dashboard home page, where you can manage activity data like search history and browsing history.
In a paper published Monday, a team of researchers and engineers in Microsoft Artificial Intelligence and Research reported a speech recognition system that makes the same or fewer errors than professional transcriptionists. The researchers reported a word error rate (WER) of 5.9 percent, down from the 6.3 percent WER the team reported just last month.
The research milestone comes after decades of research in speech recognition, beginning in the early 1970s with DARPA, the U.S. agency tasked with making technology breakthroughs in the interest of national security. Over the decades, most major technology companies and many research organizations joined in the pursuit.
The milestone will have broad implications for consumer and business products that can be significantly augmented by speech recognition. That includes consumer entertainment devices like the Xbox, accessibility tools such as instant speech-to-text transcription and personal digital assistants such as Cortana.
The gains were quick, but once the team realized they were on to something it was hard to stop working on it. Huang said the milestone was reached around 3:30 a.m.; he found out about it when he woke up a few hours later and saw a victorious post on a private social network.
The news came the same week that another group of Microsoft researchers, who are focused on computer vision, reached a milestone of their own. The team won first place in the COCO image segmentation challenge, which judges how well a technology can determine where certain objects are in an image.
Baining Guo, the assistant managing director of Microsoft Research Asia, said segmentation is particularly difficult because the technology must precisely delineate the boundary of where an object appears in a picture.
Shum has noted that we are moving away from a world where people must understand computers to a world in which computers must understand us. Still, he cautioned, true artificial intelligence is still on the distant horizon.
i am Khaled ,Mechatronic engineering ... i don't know how to integrate Microsoft Speech in windows Vista with the LabVIEW for example i want to use my voice to have output from LabVIEW and from searches i found that Microsoft Speech is the best ad easiest solution
You won't find one specific to turning on/off a motor, but the examples can be used to determine what you need to do. For instance, to turn the motor on/off you need some hardware. So you can write the VI to control the hardware to turn it on/off, and use speech recognition to call this VI.
This example goes the other direction (it generates speech from text, rather than generating text from speech), but it shows how you can call speech functions in the Microsoft .NET 3.0 environment from LabView.
Microsoft is rolling out updates to its user consent experience for voice data to give customers more meaningful control over whether their voice data is used to improve products, the company announced Friday. These updates let customers decide if people can listen to recordings of what they said while speaking to Microsoft products and services that use speech recognition technology. 152ee80cbc