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LS on Subjective quality evaluation of AI-based ultra-low bitrate voice codecs

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LS on Subjective Quality Evaluation of AI-based Ultra-low Bitrate Voice Codecs

Document Information

Source: ITU-T Study Group 12
Reference: SG12-LS18 (SG12-TD298R1)
Date: Geneva, 9-18 September 2025
For Information to: 3GPP SA4
Deadline: June 2026

Background and Context

ITU-T SG12 reviewed multiple contributions during its September 2025 meeting addressing ML- and AI-based speech processing features and their evaluation using subjective tests and objective models. A key contribution (SG12-C40) from Rohde & Schwarz SwissQual AG presented P.800 listening test results that included several AI-based ultra-low bitrate codecs.

Main Technical Findings

Performance of AI-based Ultra-low Bitrate Codecs

The P.800 listening tests demonstrated that several AI-based ultra-low bitrate codecs scored better than traditional low-bitrate codecs, proving their usefulness in the telecommunication context.

Limitations of Current Test Methodologies

While the P.800 overall MOS rating procedure appears generally appropriate for evaluating these codecs, SG12 identified potential limitations:

  • Timbre shifts may not be adequately reflected in traditional MOS ratings
  • Small drops in information that could be critical in mission-critical calls might not be captured
  • New test methods that better reflect these perceptual effects may be necessary

E-model Integration Concerns

SG12 concluded that it would be premature to incorporate these AI-based codecs into the E-model (by deriving equipment impairment factors) due to:

  • Subjective effects not yet fully covered by available test methods
  • Rapid evolution and changes in the respective codec technologies

Request for Feedback

ITU-T SG12 is seeking feedback from 3GPP SA4 based on their experience before deciding to:

  • Start development of new appropriate subjective test methodologies
  • Develop potential corresponding prediction models

The liaison includes attachment SG12-C40 describing a subjective ACR LOT testing of AI-based and ultra-low bitrate codecs in a full-scale real field context.

Document Information
Source:
ITU-T Study Group 12
Type:
LS in
For:
Information
Original Document:
View on 3GPP
Title: LS on Subjective quality evaluation of AI-based ultra-low bitrate voice codecs
Agenda item: 5.3
Agenda item description: Other groups
Doc type: LS in
For action: Information
Original LS: SG12-LS18
To: SA4
Contact: Andrijana Brekalo
Uploaded: 2026-02-04T14:26:49.727000
Contact ID: 91743
TDoc Status: noted
Is revision of: S4-251678
Reservation date: 04/02/2026 14:21:32
Agenda item sort order: 8