Clock Skew Compensation by Speech Interpolation

Miljković, Dragana; Trump, Tonu; Petrović, Goran

doi:10.1109/icdt.2006.24

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Unfortunately, such a channel may not be available in many applications. Another possibility for rate estimation is to use network packet timestamps, as proposed in [8]. The time-stamp information is readily available, but the estimation is challenging due to the jitter in the network delays.…”

Section: Issues Of Sampling Rate Skewmentioning

confidence: 99%

A study on recognizing distorted speech over local distributed transducer networks

Zhao

Shin

Robledo-Arnuncio

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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In a collaborative scenario, a multiplicity of portable devices may constitute a network of distributed microphones, without a clearly defined geometric configuration or synchronization that can be taken advantage of for traditional microphone array processing to enhance the acquired signal. This application scenario represents a severe, but interesting challenge for automatic speech recognition systems. In this paper, we investigate a variety of robust speech recognition techniques with a focus on the distributed transducer scenario. We also report some important study results that lead to new thinking in the design of robust speech recognition for broadened applications. Two issues that are inherent to distributed transducer networks are specially investigated. First, we study the effect of the sampling rate skew of microphones to the system performance; second, we explore the possibility of combining recognition hypotheses from multiple transducer channels for improved recognition accuracy.

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Section: Issues Of Sampling Rate Skewmentioning

confidence: 99%

A study on recognizing distorted speech over local distributed transducer networks

Zhao

Shin

Robledo-Arnuncio

et al. 2009

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…In this paper,

is defined to describe the packet loss event of the first round of information exchange [ 31 , 32 ]. When the nodes successfully exchange data, there is

; otherwise,

.…”

Section: Kalman Filter Based Clock Modelmentioning

confidence: 99%

ARS: Adaptive Robust Synchronization for Underground Coal Wireless Internet of Things

Zhang

Pang

Yin

et al. 2020

Sensors

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Clock synchronization is still a vital and challenging task for underground coal wireless internet of things (IoT) due to the uncertainty of underground environment and unreliability of communication links. Instead of considering on-demand driven clock synchronization, this paper proposes a novel Adaptive Robust Synchronization (ARS) scheme with packets loss for mine wireless environment. A clock synchronization framework that is based on Kalman filtering is first proposed, which can adaptively adjust the sampling period of each clock and reduce the communication overhead in single-hop networks. The proposed scheme also solves the problem of outliers in data packets with time-stamps. In addition, this paper extends the ARS algorithm to multi-hop networks. Additionally, the upper and lower bounds of error covariance expectation are analyzed in the case of incomplete measurement. Extensive simulations are conducted in order to evaluate the performance. In the simulation environment, the clock accuracy of ARS algorithm is improved by 7.85% when compared with previous studies for single-hop networks. For multi-hop networks, the proposed scheme improves the accuracy by 12.56%. The results show that the proposed algorithm has high scalability, robustness, and accuracy, and can quickly adapt to different clock accuracy requirements.

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“…The necessary resampling factors may take arbitrary values and may change with time, so a traditional resampling approach using cascaded decimators and interpolators is not practical for this. Instead, interpolation filters are typically used [4,2,3]. This still presents computational challenges, due to the need of a different interpolation filter for each output sample.…”

Section: Introductionmentioning

confidence: 98%

“…Unfortunately this may not be possible in many applications. Another possibility is to use network packet time-stamps, as proposed in [3]. This information is readily available, but the estimation is challenging due to the jitter in the network delays.…”

Section: Introductionmentioning

confidence: 99%

On Dealing with Sampling Rate Mismatches in Blind Source Separation and Acoustic Echo Cancellation

Robledo-Arnuncio

Wada

Juang

2007

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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The lack of a common clock reference is a fundamental problem when dealing with audio streams originating from or heading to different distributed sound capture or playback devices. When implementing multichannel signal processing algorithms for such kind of audio streams it is necessary to account for the unavoidable mismatches between the actual sampling rates. There are some approaches that can help to correct these mismatches, but important problems remain to be solved, among them the accurate estimation of the mismatch factors, and achieving both accuracy and computational efficiency in their correction. In this paper we present an empirical study on the performance of blind source separation and acoustic echo cancellation algorithms in this scenario. We also analyze the degradation in performance when using an approximate but efficient method to correct the rate mismatches.

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Clock Skew Compensation by Speech Interpolation

Cited by 3 publications

References 4 publications

A study on recognizing distorted speech over local distributed transducer networks

A study on recognizing distorted speech over local distributed transducer networks

ARS: Adaptive Robust Synchronization for Underground Coal Wireless Internet of Things

On Dealing with Sampling Rate Mismatches in Blind Source Separation and Acoustic Echo Cancellation

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