Empower Your Solutions with Azure Custom Speech Service

Azure Custom Speech Service

Empower Your Solutions with Azure Custom Speech Service

Recent highlights

Azure Custom Speech Service offers fast transcription, making it possible to transcribe audio at a quicker pace than the actual audio duration. Moreover, users can now benefit from the Azure AI Speech Toolkit extension available for Visual Studio Code users. This extension includes a variety of speech quick-starts and scenario samples that can be easily executed with a few clicks. Additionally, Azure Custom Speech Service introduces high definition (HD) voices in public preview for enhanced understanding, emotion detection in input text, and real-time tone adjustment. Another exciting addition is the availability of video translation in the Azure AI Speech service, offering users the capability to translate videos effectively. The service also now supports OpenAI text to speech voices for a diverse range of voice options. Users can leverage the custom voice API to create and manage personalized neural voice models efficiently.

Release notes

The latest release of the Speech SDK (1.42.0) in December 2024 brought some notable enhancements. For instance, in Java, the addition of Diagnostics logging APIs utilizing classes such as FileLogger, MemoryLogger, EventLogger, and SpxTrace has been added. Furthermore, support has been included for sending JSON property 'details' of meeting participants to the service. In the Go language, a new public property id SpeechServiceConnection_ProxyHostBypass was introduced to specify hosts where the proxy should not be used. Additionally, in JavaScript and Go, public properties such as Speech_SegmentationStrategy and Speech_SegmentationMaximumTimeMs have been added to determine the end of a spoken phrase and generate the final recognized result, respectively. Several bug fixes were also implemented, addressing embedded TTS voice reloading, offset calculation issues, deadlock problems, and aligning behavior at the end of speech across SDK languages. Furthermore, a Go language compilation error related to meeting transcription was rectified, along with improvements in logging.

Samples

The Speech SDK for the October 2024 release introduced new features like support for Amazon Linux 2023 and Azure Linux 3.0. Noteworthy bug fixes include resolving incomplete support for keyword recognition Advanced models produced after August 2024, addressing memory leaks in C#, and correcting issues with string usage. Samples demonstrating real-time text to speech avatars for Android and iOS were added, showcasing how to incorporate these avatars into mobile applications effectively. Additionally, Swift projects on iOS need to use the MicrosoftCognitiveServicesSpeech-EmbeddedXCFramework-1.41.1.zip or the MicrosoftCognitiveServicesSpeechEmbedded-iOS pod to include Advanced model support. Various fixes were made across different languages and platforms to enhance the user experience and address known issues.

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Enhancing Speech Recognition Accuracy with Azure Custom Speech Service

How Custom Speech Works

Azure Custom Speech Service allows users to enhance the accuracy of speech recognition for their applications by creating custom speech models. These custom models can be utilized for real-time speech to text, speech translation, and batch transcription. The service initially leverages a Universal Language Model as a base model, trained with Microsoft-owned data, covering common spoken language. However, users can improve recognition by training a custom model with domain-specific vocabulary and audio data to suit application requirements.

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Advancing Speech Recognition with Azure Custom Speech Service

Overview of Language Support

The Azure Custom Speech Service offers comprehensive language support for various functionalities such as speech to text, text to speech, pronunciation assessment, speech translation, speaker recognition, and more. Users can leverage this service to work with different languages and dialects, enhancing accessibility and usability across diverse linguistic landscapes.

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Empower Your Applications with Azure Custom Speech Service

Introduction to Azure Custom Speech Service

Azure Custom Speech Service is a cloud-based speech-to-text service offered by Microsoft Azure. It enables developers to customize speech recognition using machine learning models tailored to their specific needs. By leveraging this service, developers can enhance the accuracy and adaptability of speech recognition in their applications.

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Empowering Speech Recognition with Azure Custom Speech Service

Introduction to Custom Speech

Azure Custom Speech Service allows users to enhance the accuracy of speech recognition for their applications and products. By leveraging custom speech models, users can improve real-time speech to text, speech translation, and batch transcription functionalities.

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Empower Your Applications with Azure Custom Speech Service Solutions

Introduction to Azure Custom Speech Service

Azure Custom Speech Service offers speech to text and text to speech capabilities through a Speech resource. This service enables you to transcribe speech accurately, generate natural-sounding text to speech voices, translate spoken audio, and utilize speaker recognition during conversations. Whether you want to create custom voices, expand your base vocabulary, or construct your own models, Azure Custom Speech Service provides the tools and resources to make it happen.

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Azure Custom Speech Service