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CMU Sphinx VS Microsoft Speaker Recognition API

Compare CMU Sphinx VS Microsoft Speaker Recognition API and see what are their differences

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CMU Sphinx logo CMU Sphinx

CMU Sphinx is a speaker-independent large vocabulary continuous speech recognizer released under...

Microsoft Speaker Recognition API logo Microsoft Speaker Recognition API

Windows SDK for the Microsoft Speaker Recognition API, part of Cognitive Services - microsoft/Cognitive-SpeakerRecognition-Windows
  • CMU Sphinx Landing page
    Landing page //
    2022-12-17
  • Microsoft Speaker Recognition API Landing page
    Landing page //
    2023-09-02

CMU Sphinx features and specs

  • Open Source
    CMU Sphinx is free and open source, allowing developers to use, modify, and distribute the software without any licensing costs.
  • Offline Functionality
    CMU Sphinx can be used for offline speech recognition, making it suitable for applications where internet connectivity is unreliable or unavailable.
  • Flexible and Extensible
    CMU Sphinx provides a variety of tools and libraries that can be extended and customized for specific use cases, such as adapting it to recognize domain-specific vocabulary.
  • Multiple Language Support
    Supports various languages and accents, making it versatile for global applications.
  • Custom Models
    Allows the creation of custom acoustic and language models tailored to specific applications, thereby improving accuracy in specialized environments.

Possible disadvantages of CMU Sphinx

  • Accuracy
    CMU Sphinx often has lower recognition accuracy compared to more modern, deep learning-based speech recognition systems.
  • Complex Setup
    Setting up and configuring CMU Sphinx can be complex and requires a significant understanding of speech recognition technology.
  • Limited Community Support
    The user community and support for CMU Sphinx are not as large or active as those for some commercial or newer open-source alternatives.
  • Resource Intensive
    Running CMU Sphinx, especially with large custom models, can be resource-intensive, requiring significant CPU and memory resources.
  • Lagging Behind in Technology
    CMU Sphinx has not kept pace with recent advancements in speech recognition technology, particularly deep learning innovations employed by newer systems.

Microsoft Speaker Recognition API features and specs

No features have been listed yet.

CMU Sphinx videos

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Training CMU Sphinx Speech Recognition

Microsoft Speaker Recognition API videos

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Category Popularity

0-100% (relative to CMU Sphinx and Microsoft Speaker Recognition API)

CMU Sphinx

Microsoft Speaker Recognition API

Knowledge Sharing
84 84%
Knowledge Sharing
16% 16
Speech Recognition And Processing
79 79%
Speech Recognition And Processing
21% 21
Tool
100 100%
Tool
0% 0
Customer Support
0 0%
Customer Support
100% 100

User comments

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What are some alternatives?

When comparing CMU Sphinx and Microsoft Speaker Recognition API, you can also consider the following products

Express Dictate Digital Dictation Software - Express Dictate software is a voice recording program that works like a dictaphone.

Microsoft Bing Speech API - Compare pricing options for the Bing Speech API through Microsoft Azure Cognitive Services. Learn how to buy various pricing options that work best for your business.

LipSurf - "Siri for Chrome" Completely control the browser without your hands -- say "google...

Express Scribe - Express Scribe transcription software and audio player specifically designed for typists.

TextFromToSpeech - Free online speech recognition tool that will help you write text with your voice without typing.

Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0.

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