Enhance Generative AI Apps with Multimodality
Azure AI Speech provides the capability to add multimodality to your generative AI applications. This empowers developers to create more immersive and interactive experiences for users by incorporating both speech and text inputs and outputs.
Transcribe Speech to Text
With Azure AI Speech, you can transcribe speech to text, enabling applications to convert spoken language into written text. This feature is particularly useful for transcribing call center interactions, meeting conversations, or any spoken content. Moreover, the platform supports audio-captioning in over 100 languages, allowing for global accessibility and inclusivity.
Convert Text to Speech
Developers can leverage Azure AI Speech to convert text into natural-sounding speech. This functionality is crucial for building chatbots, virtual assistants, or any application that requires text-to-speech capabilities. By customizing voices and speaking styles, developers can create personalized and brand-differentiating interactions.
Speech Analytics
Azure AI Speech offers speech analytics features that allow users to analyze audio or video call recordings. By extracting key insights and summarizing important topics, businesses can gain valuable information from their communication data. Additionally, the platform supports the extraction or redaction of personal identification information, enhancing data privacy and compliance.
Build Custom Voices and Avatars
Developers can build natural-sounding voices using custom neural voice capabilities in Azure AI Speech. This feature enables the creation of unique, branded voices for various applications. Furthermore, the platform supports the development of avatars with natural voices, providing a visual representation of the spoken content for enhanced user engagement.
Speaker Verification and Multilingual Communication
Azure AI Speech offers functionalities for speaker verification and identification, allowing applications to confirm a person's identity or recognize speakers in a meeting. Moreover, the platform enables multilingual communication by translating audio or video data into multiple supported languages. Users can customize translations to align with specific industry requirements, facilitating seamless global communication.
Embedded Speech Capabilities
Azure AI Speech facilitates on-device speech-to-text and text-to-speech scenarios by providing embedded speech capabilities. This feature is particularly useful in environments where cloud connectivity is intermittent or unavailable, ensuring consistent and reliable speech functionalities. Developers can seamlessly integrate embedded speech into their applications for enhanced performance.
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