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Speaker Recognition answers the question of "who is speaking?". Speaker Verification is a subfield of Speaker Recognition for authentication. Speaker Verification is also known as Speaker Authentication, Voice Biometrics, and Voice ID. Different from verification where the target speaker is known, Speaker Identification pinpoints the spoken utterance to one of the (possibly many) known speakers.

The first use of Speaker Verification and Speaker Identification is security and authentication. When one calls a service provider, they can verify your identity if they have your voiceprint. This identification is passive and accomplished using a Speaker Identification system. Alternatively, Speaker Verification is used to unlock protected applications and devices actively. The user needs to enroll first by providing a few examples of their voice uttering either a fixed text (for text-dependent Speaker Verification) or an arbitrary sentence (for text-independent Speaker Verification). Speaker Identification has the potential to personalize voice user interfaces (VUI). e.g. when you ask your smart speaker to play your favourite album, you should get a different result than when your child does.

Below we look into options available to add Speaker Recognition in 2026.

Azure Speaker Recognition API

Microsoft initially released Azure AI Speaker Recognition as a limited access feature, available to select enterprises, and later, announced its retirement, by September 30, 2025, hasn't been replaced with another API or SDK.

Look at alternatives to Azure AI Speaker Recognition API.

Picovoice Eagle Speaker Recognition

Eagle provides cross-platform, on-device speaker recognition, optimized for privacy and low-latency environments. It supports iOS, Android, Web, Linux, and embedded devices, making it ideal for mobile, IoT, and embedded voice AI applications. Learn more on Picovoice Eagle.

Eagle is optimized for real-time speech processing, achieving ultra low-latency. Its production-ready SDKs for Python, Node.js, Web, iOS, Android enable developers to run it across platforms.

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Open-Source Speaker Recognition

There is no ready-to-deploy open source project that you can use, unlike ASR, where there are open source projects such as Kaldi or Vosk. But implementations of widely known papers in the field with a free dataset are available. These are not production-quality but useful as a starting point.

Learn how to choose the best speaker recognition engine.

Advancements in deep learning, on-device processing, and multilingual voice AI are accelerating the adoption of speaker recognition globally. By 2026, businesses are increasingly integrating voice biometrics into customer service, banking, healthcare, and smart home ecosystems, balancing security, user experience, and privacy compliance. However, there's still a very limited number of speaker recognition engines readily available for developers, most of them are not production-ready or gated by enterprise sales teams.

Explore related resources to learn more about speaker recognition:

Speaker Recognition Tutorials:

Speaker Recognition Quick Start Guides:

Speaker Recognition APIs