Primary Path Estimator Based on Individual Secondary Path for ANC Headphones

Fabry, Johannes; Jax, Peter

doi:10.1109/icassp40776.2020.9053601

Cited by 9 publications

(5 citation statements)

References 7 publications

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“…2. In most commercially available FF ANC headphones, at least one microphone in each ear cup, a reference microphone, is used to measure the incoming noise x(n) [4]. In the FF ANC system, the goal is to match the internal disturbance signal…”

Section: Proposed Fixed-filter Anc Systemmentioning

confidence: 99%

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Non-Stationary Prediction for Addressing the Non-Causality Problem in Fixed-Filter ANC Headphones for Speech Reduction

Iotov,

Nørholm,

Belyi

et al. 2023

2023 31st European Signal Processing Conference (EUSIPCO)

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In some situations, speech can be a disturbing source of ambient noise. Active noise control (ANC) systems have difficulties in dealing with speech due to its non-stationary nature when the non-causality problem arises in such systems, which requires the optimal filters to be non-causal. The noncausality problem is due to the delay incurred by, e.g., digital processing or acoustic propagation paths. We propose a new fixed-filter feedforward ANC system, HCMP-ANC, which aims at attenuating speech in, e.g., office environments. Notably, it comprises a non-stationary harmonic chirp model-based prediction of speech ahead in time, thus overcoming the aforementioned delay. The results show that HCMP-ANC can outperform conventional adaptive feedforward ANC, for delays in the order of tens of samples at a sampling frequency of 8 kHz. By accounting for speech non-stationarity, HCMP-ANC can attenuate female speech in a wider frequency range of up to 3 kHz, while the conventional ANC is limited to 1.5 kHz.

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Section: Proposed Fixed-filter Anc Systemmentioning

confidence: 99%

“…The work is supported by the Innovation Fund Denmark, grant no. 9065-00218. based on either fixed feedforward (FF) or feedback (FB) filter or a combination of both (hybrid ANC) [4]. Many factors affect ANC performance [1], [2], [4]- [10], one of those factors being the causality constraint.…”

Section: Introductionmentioning

confidence: 99%

Non-Stationary Prediction for Addressing the Non-Causality Problem in Fixed-Filter ANC Headphones for Speech Reduction

Iotov,

Nørholm,

Belyi

et al. 2023

2023 31st European Signal Processing Conference (EUSIPCO)

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“…To generate an anti-noise signal in adaptive ANC systems, adaptive algorithms such as Filtered-X least mean square (FXLMS) or Filtered-X Normalized LMS (FXNLMS) are commonly used [3,[6][7][8]. Modern ANC headphones are typically based on either fixed feedforward (FF) or feedback (FB) ANC filter or a combination of both (hybrid ANC) [9]. Many factors affect ANC performance in headphones [2,[6][7][8][9][10][11][12][13][14][15][16], one of those factors is the causality constraint.…”

Section: Introductionmentioning

confidence: 99%

“…Modern ANC headphones are typically based on either fixed feedforward (FF) or feedback (FB) ANC filter or a combination of both (hybrid ANC) [9]. Many factors affect ANC performance in headphones [2,[6][7][8][9][10][11][12][13][14][15][16], one of those factors is the causality constraint. For FF ANC headphones, shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sparse Linear Prediction in Fixed-Filter ANC Headphone Applications for Multi-Speaker Speech Reduction

Iotov,

Nørholm,

Belyi

et al. 2023

2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

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In some cases, speech can be a disturbing source of ambient noise. Active noise control (ANC) systems have difficulties in dealing with speech due to its non-stationary nature and constraints in the ANC system, which require the optimal filters to be non-causal. The noncausality is due to the delay incurred by, e.g., digital processing or acoustic propagation paths. We propose a fixed-filter feedforward ANC system, HOSpLP-ANC, which aims at attenuating voiced speech in, e.g., office environments. It comprises an adaptive highorder sparse linear predictor (HOSpLP) based on the improved proportionate normalised least mean square algorithm to predict speech ahead in time, thus overcoming such delay. Notably, HOSpLP provides high prediction performance of voiced speech by modelling the joint short-and long-term linear prediction scheme, but without using pitch estimation. This can be of particular significance in the case of the complicated multi-pitch estimation scenario. The results show that HOSpLP-ANC outperforms conventional adaptive feedforward ANC for delays in the order of milliseconds in both singleand multi-speaker environments.

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“…Currently, active noise control (ANC) technology has been successfully deployed in the headphone, which can achieve satisfactory noise reduction performance around our ears [1][2][3][4][5][6][7][8][9][10]. In ANC headphones, the adaptive active noise control algorithm plays an essential role in cancelling the low-frequency disturbance [11][12][13][14][15][16] while the high-frequency noise is mainly attenuated by its passive components, such as the earcup. The feedforward active control algorithm acquires the primary noise from the reference microphone, which is embedded outside the earcup, and compute the anti-noise to cancel out broadband noise that is being leaked into the earcup of the headphones.…”

Section: Introductionmentioning

confidence: 99%

A Wireless Reference Active Noise Control Headphone Using Coherence Based Selection Technique

Shen

Shi

Gan

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Feedforward active noise control (ANC) is widely utilized to attenuate the broadband noise picked up by the reference microphone. However, in some situations, it is impractical to obtain a clean reference signal when the noise source is far away from the controller. Hence, we adopt a wireless reference microphone to pick up the reference signals around the noise sources. Furthermore, a coherence-based-selection algorithm is proposed to select the reference signals with high coherence. The proposed method improves the quality of the reference signals and the noise reduction performance of the ANC system. Numerical simulations and real-time experiments are conducted to validate the effectiveness of the proposed algorithm.

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Primary Path Estimator Based on Individual Secondary Path for ANC Headphones

Cited by 9 publications

References 7 publications

Non-Stationary Prediction for Addressing the Non-Causality Problem in Fixed-Filter ANC Headphones for Speech Reduction

Non-Stationary Prediction for Addressing the Non-Causality Problem in Fixed-Filter ANC Headphones for Speech Reduction

Adaptive Sparse Linear Prediction in Fixed-Filter ANC Headphone Applications for Multi-Speaker Speech Reduction

A Wireless Reference Active Noise Control Headphone Using Coherence Based Selection Technique

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