Best Speech Recognition Software for Microsoft Azure

Find and compare the best Speech Recognition software for Microsoft Azure in 2025

Use the comparison tool below to compare the top Speech Recognition software for Microsoft Azure on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
     OTO Reviews

    OTO

    OTO Systems

    $100 per month
    With OTO, call centers gain complete visibility into customer call conversations within just 20 hours, enhancing their ability to complement NPS scoring through in-call intonation analytics. By pinpointing call agent engagement, businesses can proactively develop their workforce management strategies and streamline the quality assurance process for calls. OTO's language-agnostic capabilities provide diverse output parameters, while its API enables companies to begin analyzing all in-call conversations in a matter of hours. Take advantage of our free trial to start unlocking insights from your call data! Recognizing that voice is a crucial connection point with customers, we aim to empower organizations to effectively comprehend and utilize their voice data at scale. Whether you are creating a mobile application or building data analytics dashboards, our lightweight DeepToneTM engine offers access to robust voice models across any device, enriching your audio analysis with comprehensive acoustic labels suitable for nearly all audio formats. By harnessing these advanced tools, you can unlock new opportunities for customer engagement and operational efficiency.
  • 2
    Deepgram Reviews
    You can use accurate speech recognition at scale and continuously improve model performance by labeling data, training and labeling from one console. We provide state-of the-art speech recognition and understanding at large scale. We do this by offering cutting-edge model training, data-labeling, and flexible deployment options. Our platform recognizes multiple languages and accents. It dynamically adapts to your business' needs with each training session. Enterprise-specific speech transcription software that is fast, accurate, reliable, and scalable. ASR has been reinvented with 100% deep learning, which allows companies to improve their accuracy. Stop waiting for big tech companies to improve their software. Instead, force your developers to manually increase accuracy by using keywords in every API call. You can train your speech model now and reap the benefits in weeks, instead of months or even years.
  • 3
    Azure AI Speech Reviews
    Easily and efficiently develop voice-enabled applications with the Speech SDK, which allows for precise speech-to-text transcription, the generation of realistic text-to-speech voices, and the translation of spoken audio while also incorporating speaker recognition features. By utilizing Speech Studio, you can design customized models that suit your specific application needs, benefiting from advanced speech recognition, lifelike voice synthesis, and award-winning capabilities in speaker identification. Your data remains private, as your speech input is not recorded during processing, and you can create unique voices, expand your base vocabulary with specific terms, or develop entirely new models. The Speech SDK can be deployed in various environments, whether in the cloud or through edge computing in containers, enabling rapid and accurate audio transcription across more than 92 languages and their respective variants. Furthermore, it provides valuable customer insights through call center transcriptions, enhances user experiences with voice-driven assistants, and captures critical conversations during meetings. With options for text-to-speech, you can build applications and services that engage users conversationally, selecting from an extensive array of over 215 voices in 60 different languages, making your projects more dynamic and interactive. This flexibility not only enriches the user experience but also broadens the scope of what can be achieved with voice technology today.
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