A fast double-talk detection algorithm based on signal envelopes for implementation of acoustic echo cancellation in embedded systems

Hussain, Md. Shamim; Hasan, Md. Ajoad; Bari, Md. Faizul; Harun-Ur-Rashid, A.B.M.

doi:10.1109/icaee.2017.8255353

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Moreover, a non-negligible amount of ambient noise (r[n]) might also be present. In these situations, the captured microphone signal (d[n]) conveys components that are unrelated to the acoustic path, h[n], and therefore, the underlying modeling principal of the AEC becomes violated, and consecutively, the adaptive process would diverge and fail [2,3,[21][22][23]. To avoid this scenario, as illustrated in Fig.…”

Section: Double-talk Detection Based On Normalized Cross-correlationmentioning

confidence: 99%

“…Different methods have been developed to detect DT and stop the adaptive process until the end of the DT period. These methods can be categorized into two groups: (1) methods that detect DT by comparing the amplitude of the captured signal (d[n]) with the far-end reference signal (x[n]) [21,22] and (2) methods that detect the DT by analyzing the statistical differences between d[n] and x[n] [5,23].…”

Section: Double-talk Detection Based On Normalized Cross-correlationmentioning

confidence: 99%

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An acoustic echo canceller optimized for hands-free speech telecommunication in large vehicle cabins

Saremi,

Ramkumar,

Ghaffari

et al. 2023

J AUDIO SPEECH MUSIC PROC.

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Acoustic echo cancelation (AEC) is a system identification problem that has been addressed by various techniques and most commonly by normalized least mean square (NLMS) adaptive algorithms. However, performing a successful AEC in large commercial vehicles has proved complicated due to the size and challenging variations in the acoustic characteristics of their cabins. Here, we present a wideband fully linear time domain NLMS algorithm for AEC that is enhanced by a statistical double-talk detector (DTD) and a voice activity detector (VAD). The proposed solution was tested in four main Volvo truck models, with various cabin geometries, using standard Swedish hearing-in-noise (HINT) sentences in the presence and absence of engine noise. The results show that the proposed solution achieves a high echo return loss enhancement (ERLE) of at least 25 dB with a fast convergence time, fulfilling ITU G.168 requirements. The presented solution was particularly developed to provide a practical compromise between accuracy and computational cost to allow its real-time implementation on commercial digital signal processors (DSPs). A real-time implementation of the solution was coded in C on an ARM Cortex M-7 DSP. The algorithmic latency was measured at less than 26 ms for processing each 50-ms buffer indicating the computational feasibility of the proposed solution for real-time implementation on common DSPs and embedded systems with limited computational and memory resources. MATLAB source codes and related audio files are made available online for reference and further development.

show abstract

Section: Double-talk Detection Based On Normalized Cross-correlationmentioning

confidence: 99%

Section: Double-talk Detection Based On Normalized Cross-correlationmentioning

confidence: 99%

An acoustic echo canceller optimized for hands-free speech telecommunication in large vehicle cabins

Saremi,

Ramkumar,

Ghaffari

et al. 2023

J AUDIO SPEECH MUSIC PROC.

View full text Add to dashboard Cite

show abstract

Double-Talk Robust Fast Converging and Low Complexity Algorithm for Acoustic Echo Cancellation in Teleconferencing System

Hassani¹,

Benallal²,

Bendoumia³

2021

Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities

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Autocorrelation Based Double Talk Detection System with an NLMS Aczostic Echo Canceler

Chowdhury

Sarkar

Haider

et al. 2019

2019 International Conference on Electrical, Computer and Communication Engineering (ECCE)

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A fast double-talk detection algorithm based on signal envelopes for implementation of acoustic echo cancellation in embedded systems

Cited by 5 publications

References 10 publications

An acoustic echo canceller optimized for hands-free speech telecommunication in large vehicle cabins

An acoustic echo canceller optimized for hands-free speech telecommunication in large vehicle cabins

Double-Talk Robust Fast Converging and Low Complexity Algorithm for Acoustic Echo Cancellation in Teleconferencing System

Autocorrelation Based Double Talk Detection System with an NLMS Aczostic Echo Canceler

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