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AMR-WB

Adaptive Multi-Rate Wideband Speech Codec

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AMR-WB is a 3GPP-standardized wideband speech codec that provides superior, natural voice quality for mobile networks by using a 16 kHz sampling rate to cover a wider frequency range.

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41 specs
AMR-WB Description Purpose What changed Neighbours Detected Changes Specifications

Description

The Adaptive Multi-Rate Wideband (AMR-WB) speech codec is a sophisticated audio compression algorithm designed specifically for mobile telecommunications. Unlike traditional narrowband codecs that operate with 8 kHz sampling (covering 300-3400 Hz), AMR-WB uses 16 kHz sampling to capture frequencies from 50 Hz to 7 kHz. This expanded frequency range provides significantly improved speech quality, naturalness, and intelligibility, making conversations sound more lifelike and reducing listener fatigue. The codec employs Algebraic Code Excited Linear Prediction (ACELP) technology with multi-rate operation, allowing it to adapt to varying channel conditions while maintaining optimal voice quality.

AMR-WB operates with nine different bit rates ranging from 6.60 kbit/s to 23.85 kbit/s, with the most commonly used rates being 12.65 kbit/s and 23.85 kbit/s. The codec uses a frame length of 20 milliseconds, corresponding to 320 samples at 16 kHz sampling rate. Each frame is divided into four subframes of 5 ms each for more efficient processing. The encoder analyzes the speech signal using linear prediction analysis to extract spectral parameters (Line Spectral Frequencies), pitch parameters (adaptive codebook), and innovation parameters (fixed codebook). These parameters are quantized and transmitted to the decoder, which reconstructs the speech signal using synthesis filtering.

The codec's architecture includes several key components: the pre-processing module for high-pass filtering and signal scaling, the linear prediction analysis module for spectral envelope estimation, the open-loop pitch analysis for initial pitch estimation, and the closed-loop pitch search for refined pitch parameters. The innovation codebook search uses algebraic codebooks with pulse positions and signs optimized for efficient encoding. The decoder performs the inverse operations, including parameter decoding, excitation generation, and synthesis filtering to reconstruct the speech signal. Post-processing includes adaptive post-filtering to enhance the perceptual quality of the reconstructed speech.

AMR-WB incorporates sophisticated voice activity detection (VAD) and comfort noise generation (CNG) mechanisms for efficient discontinuous transmission during silence periods. The codec supports multiple operational modes including full-rate, half-rate, and variable-rate operation depending on network conditions. It includes robust error concealment techniques to handle frame losses and transmission errors, ensuring graceful degradation of voice quality under poor channel conditions. The codec's design emphasizes both compression efficiency and computational complexity optimization, making it suitable for implementation on mobile devices with limited processing power and battery life.

In 3GPP networks, AMR-WB is integrated into the media processing chain of voice services, interfacing with transport protocols like RTP/UDP/IP for packet-switched voice. The codec supports transcoding-free operation in end-to-end scenarios when both terminals support AMR-WB, preserving the full wideband quality throughout the call path. It has been extended with enhanced versions like AMR-WB+ for music and general audio, and EVS-WB which provides even better quality and efficiency. AMR-WB's widespread adoption across mobile generations from 3G to 5G demonstrates its fundamental role in delivering high-quality voice services in modern telecommunications.

Purpose & Motivation

AMR-WB was developed to address the limitations of narrowband speech codecs that had dominated mobile communications since the early days of cellular networks. Traditional narrowband codecs like AMR-NB (Adaptive Multi-Rate Narrowband) operated within the 300-3400 Hz frequency range, which was sufficient for basic intelligibility but lacked the naturalness and richness of face-to-face conversation. This frequency limitation resulted in muffled speech, reduced intelligibility of certain consonants (especially fricatives like 's', 'f', and 'th'), and overall listener fatigue during extended conversations. The telecommunications industry recognized that improved voice quality could enhance user experience, reduce miscommunication, and provide competitive differentiation in increasingly saturated mobile markets.

The development of AMR-WB was motivated by several key factors: the availability of increased processing power in mobile devices, improved network bandwidth capabilities, and growing consumer expectations for better audio quality. Research in psychoacoustics had demonstrated that human speech contains important information in frequencies beyond the traditional telephone band, particularly in the 50-300 Hz range (providing natural bass and vocal warmth) and the 3400-7000 Hz range (enhancing consonant clarity and speech intelligibility). By extending the frequency range to 50-7000 Hz, AMR-WB could capture these important spectral components, resulting in speech that sounds more natural, less strained, and more similar to in-person conversation.

Another important motivation was the need for a standardized wideband codec that could work across different network technologies and service providers. Prior to AMR-WB standardization, various proprietary wideband codecs existed, but they suffered from interoperability issues. 3GPP's standardization ensured that AMR-WB could be implemented consistently across devices and networks, facilitating global roaming and service continuity. The codec was designed to be backward compatible with existing network infrastructure while providing a clear migration path for operators to enhance their voice services. Its adaptive multi-rate capability allowed it to maintain good quality even under challenging radio conditions, making it suitable for the variable channel quality characteristic of mobile networks.

What changed in its specifications

The latest release-to-release comparison of specifications that define AMR-WB. Each summary describes the whole specification, not only this term.

TR 21.905Rel-17 → Rel-18

Rel-18 brings only minor changes to TS 21.905: 0 clauses changed, with no change attributed to a release feature.

Full comparison in TR 21.905 →
TS 23.333Rel-17 → Rel-18

EVS Codec Extension for Immersive Voice and Audio Services adds handling procedures and references for the IVAS speech codec.

Full comparison in TS 23.333 →

Release Timeline

Detected Changes Across Releases

from 3GPP Change Requests

Specific changes extracted from the „Change history“ tables of 3GPP specifications (2 CRs across 2 releases). Complements the general historical overview above with the evidence-based evolution of this function.

Rel-16 1 change
  • Corrections to AMR-WB floating-point for 64-bit systems TS 26.204CR0020
Rel-17 1 change
  • Correction of a saturation issue in the AMR-WB fixed-point codec TS 26.173CR0036

Defining Specifications

3GPP specifications that define or reference AMR-WB, with the latest known release. Sourced from the 3GPP document catalog — see methodology.

SpecificationTitleRelease
TR 21.905 vj20 3GPP Terminology and Definitions Rel-19 read
TR 22.813 va00 Enhanced Voice Services for EPS Study Rel-10 read
TS 23.333 vj00 MRFC-MRFP Mp Interface Requirements Rel-19 read
TS 23.334 vj00 IMS-ALG to IMS-AGW Interface (Iq) Stage 2 Rel-19 read
TS 26.111 vj00 3G-324M Terminal Specification for CS Multimedia Rel-19 read
TS 26.114 vk11 IMS Multimedia Telephony Client Rel-20 read
TS 26.171 vj00 Introduction to AMR-WB Speech Processing Rel-19 read
TS 26.173 vj00 AMR-WB Codec ANSI-C Implementation Rel-19 read
TS 26.177 vj00 DSR Extended Advanced Front-end Test Sequences Rel-19 read
TS 26.179 vj00 Codecs and Media Handling for MCPTT Rel-19 read
TS 26.190 vj00 AMR-WB Speech Codec Detailed Mapping Rel-19 read
TS 26.191 vj00 AMR-WB Error Concealment Procedure Rel-19 read
TS 26.192 vj00 AMR-WB Comfort Noise Requirements Rel-19 read
TS 26.204 vj00 AMR-WB Floating-Point Codec Specification Rel-19 read
TS 26.244 vj10 3GPP File Format (3GP) Specification Rel-19 read
TS 26.252 vj20 Digital Test Sequences for IVAS Codec and Related Functions Rel-19 read
TS 26.256 vj10 IVAS Jitter Buffer Management Specification Rel-19 read
TS 26.290 vj00 AMR-WB+ Audio Codec Specification Rel-19 read
TS 26.441 vj00 EVS Audio Processing Introduction Rel-19 read
TS 26.442 vj00 EVS Codec Fixed Point ANSI-C Code Rel-19 read
TS 26.443 vj00 EVS Codec Floating-Point C Code Rel-19 read
TS 26.444 vj01 EVS Codec Test Sequences Rel-19 read
TS 26.446 vj00 EVS Codec AMR-WB Backward Compatibility Spec Rel-19 read
TS 26.447 vj00 EVS Frame Loss Concealment Procedure Rel-19 read
TS 26.448 vj00 EVS Jitter Buffer Management Specification Rel-19 read
TS 26.450 vj00 EVS Codec DTX System Level Aspects Rel-19 read
TS 26.451 vj00 EVS Codec Voice Activity Detector (VAD) Specification Rel-19 read
TS 26.452 vj00 EVS Codec Fixed-Point C Code Implementation Rel-19 read
TS 26.453 vj00 EVS Codec Generic Frame Format for 3G CS Networks Rel-19 read
TS 26.511 vj00 5G Media Streaming Profiles, Codecs & Formats Rel-19 read
TR 26.916 ve20 eSRVCC Transcoding Minimization Study Rel-14 read
TR 26.923 vj00 Study on IMS-based Telepresence Media Handling Rel-19 read
TR 26.935 vj00 Speech Codec Performance for Packet Switched Multimedia Rel-19 read
TR 26.937 vj00 3GPP PSS Characterization Rel-19 read
TR 26.943 vj00 SES Codec Selection Report Rel-19 read
TR 26.952 vj00 EVS Codec Selection, Verification & Characterization Rel-19 read
TR 26.969 vj00 eCall In-band Modem Performance Characterization Rel-19 read
TR 26.976 vj00 AMR-WB Codec Characterization & Verification Rel-19 read
TS 29.163 vj00 Interworking between 3GPP IM CN and CS networks Rel-19 read
TS 36.750 ve10 Study on enhancement of VoLTE Rel-14 read
TS 45.009 vj00 GSM AMR Link Adaptation & Control Rel-19 read