Overview of the EVS codec architecture

By M. Dietz, M. Multrus, V. Eksler, Vladimír Malenovský, Erik Norvell, H. Pobloth, L. Miao, Zhe Wang, Lasse Laaksonen, A. Vasilache and 11 more. 2015

169 citations recorded by the source corpus.

The recently standardized 3GPP codec for Enhanced Voice Services (EVS) offers new features and improvements for low-delay real-time communication systems. Based on a novel, switched low-delay speech/audio codec, the EVS codec contains various tools for better compression efficiency and higher quality for clean/noisy speech, mixed content and music, including support for wideband, super-wideband and full-band content. The EVS codec operates in a broad range of bitrates, is highly robust against packet loss and provides an AMR-WB interoperable mode for compatibility with existing systems. This paper gives an overview of the underlying architecture as well as the novel technologies in the EVS codec and presents listening test results showing the performance of the new codec in terms of compression and speech/audio quality.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Speech & Audio, Signal Processing

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Citations in the corpus

SoundStream: An End-to-End Neural Audio Codec (2021, methodology): “Enhanced Voice Services (EVS) [10] is the latest codec standardized by the 3GPP and was primarily designed for Voice over LTE (VoLTE).”
High Fidelity Neural Audio Compression (2022, methodology): “Lyra-v2 is a neural audio codec, while EVS and Opus are competitive standard codecs.”
FunCodec: A Fundamental, Reproducible and Integrable Open-Source Toolkit for Neural Speech Codec (2023, background): “Traditional speech codecs rely on a carefully designed pipeline that incorporates expert knowledge of psycho-acoustics and speech synthesis to achieve efficient coding [1,2].”
Audiodec: An Open-Source Streaming High-Fidelity Neural Audio Codec (2023, neutral): “Modern parametric audio codecs [9–11] usually achieve acceptable reconstruction quality with 16 kHz or higher sampling rate audio signals as a consequence of the advanced transmission techniques.”
Generative Speech Coding with Predictive Variance Regularization (2021, background): “2 provides the performance of the Opus codec [31] operating at 6 kb/s and the EVS codec [32] operating at 5.9 kb/s (for fairness with disabled DTX).”
End-to-End Binaural Speech Synthesis (2022, background): “Audio codecs have long relied on traditional signal processing and in-domain knowledge of psychoacoustics in order to perform encoding of speech [6] or general audio signals [7, 8].”
LMCodec: A Low Bitrate Speech Codec with Causal Transformer Models (2023, unknown): “Opus [1] and EVS [2] are state-of-the-art speech coding techniques that combine traditional coding tools, such as Linear Predictive Coding (LPC), Code Excited Linear Prediction (CELP), and Modified Discrete Cosine Transformation (MDCT) to achieve high coding efficiency over different content types a”