SRI International (20240379112). DETECTING SYNTHETIC SPEECH simplified abstract

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DETECTING SYNTHETIC SPEECH

Organization Name

SRI International

Inventor(s)

MD Hafizur Rahman of Santa Clara CA (US)

Christopher L. Cobo-kroenke of San Francisco CA (US)

Martin Graciarena of Belmont CA (US)

DETECTING SYNTHETIC SPEECH - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240379112 titled 'DETECTING SYNTHETIC SPEECH

The disclosure outlines methods for detecting synthetic speech in an audio clip using a machine learning system.

  • The computing system includes processing circuitry and memory for executing the machine learning system.
  • The machine learning system processes the audio clip to generate speech artifact embeddings based on synthetic speech artifact features.
  • It computes scores based on the speech artifact embeddings to determine if frames of the audio clip contain synthetic speech.
  • The system outputs an indication of whether synthetic speech is present in the audio clip.
    • Key Features and Innovation:**
  • Utilizes machine learning to detect synthetic speech in audio clips.
  • Analyzes speech artifact embeddings to identify synthetic speech features.
  • Provides an indication of the presence of synthetic speech in the audio clip.
    • Potential Applications:**
  • Enhancing security measures by detecting synthetic speech in audio recordings.
  • Improving the accuracy of speech recognition systems by filtering out synthetic speech.
  • Assisting in content moderation by identifying artificially generated speech in media files.
    • Problems Solved:**
  • Addressing the challenge of identifying synthetic speech in audio clips.
  • Enhancing the reliability of audio analysis tools by detecting synthetic speech artifacts.
  • Improving the overall quality of audio content by filtering out synthetic speech.
    • Benefits:**
  • Enhances the accuracy and reliability of audio analysis systems.
  • Helps in maintaining the integrity of audio recordings by detecting synthetic speech.
  • Contributes to improved content moderation and security measures in various applications.
    • Commercial Applications:**

Potential commercial applications include:

  • Security systems for detecting synthetic speech in audio recordings.
  • Speech recognition software for filtering out synthetic speech.
  • Content moderation tools for identifying artificially generated speech in media files.
    • Questions about Synthetic Speech Detection:**

1. How does the machine learning system differentiate between natural and synthetic speech in an audio clip? 2. What are the potential limitations of using this technology in real-world applications?

    • Frequently Updated Research:**

Stay updated on advancements in machine learning algorithms for speech analysis and detection of synthetic speech artifacts.


Original Abstract Submitted

in general, the disclosure describes techniques for detecting synthetic speech in an audio clip. in an example, a computing system may include processing circuitry and memory for executing a machine learning system. the machine learning system may be configured to process an audio clip to generate a plurality of speech artifact embeddings based on a plurality of synthetic speech artifact features. the machine learning system may further be configured to compute one or more scores based on the plurality of speech artifact embeddings. the machine learning system may further be configured to determine, based on the one or more scores, whether one or more frames of the audio clip include synthetic speech. the machine learning system may further be configured to output an indication of whether the one or more frames of the audio clip include synthetic speech.

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