On Using Digital Speech Processing Techniques for Synchronization in Heterogeneous Teleconferencing

Lin, Hsiao-Pu; Hsieh, Hung‐Yun

doi:10.1007/978-3-642-10625-5_43

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…During experiments involving the GSM network and the IEEE 802.11 network, it is discovered that the latency difference of voice calls from the two networks can range from several milliseconds to 350ms. For third-party conference calls in the GSM network, the difference may increase to beyond 400ms [6]. Such asynchronism between the voice streams results in serious impairment of human perception [7].…”

Section: B Challengesmentioning

confidence: 99%

Voice Synchronization across Heterogeneous Telephony Systems: Problem and Solutions

Lin

Hsieh

2010

2010 IEEE International Conference on Communications

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As IP telephony gains more popularity, interworking with conventional PSTN telephony has also gained more importance. In particular, an increasing number of new telephony services now involves both packet-switched (IP telephony) and circuit-switched (PSTN telephony) voice legs in one call session. One common problem that arises for enabling such new services is the need for synchronization of voice streams that traverse through heterogeneous telephony systems. In this paper, we first identify the key role of voice synchronization across heterogeneous telephony systems for services such as seamless handover between WLAN and cellular networks and multi-party audio conferencing with video overlay. We then explain the challenges in synchronizing circuit-switched and packet-switched voice streams, including codec distortion, packet losses, line noises, and overlapping utterances. To achieve voice synchronization, we proceed to investigate three different approaches based on digital speech processing techniques in the waveform, cepstrum, and spectrum domains. Finally, we compare the performance benefits and tradeoffs of different approaches, thus motivating further research along this direction.

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Section: B Challengesmentioning

confidence: 99%

Voice Synchronization across Heterogeneous Telephony Systems: Problem and Solutions

Lin

Hsieh

2010

2010 IEEE International Conference on Communications

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Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems

Hernes

2018

Transactions on Computational Collective Intelligence XXXII

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On Using Digital Speech Processing Techniques for Synchronization in Heterogeneous Teleconferencing

Cited by 2 publications

References 9 publications

Voice Synchronization across Heterogeneous Telephony Systems: Problem and Solutions

Voice Synchronization across Heterogeneous Telephony Systems: Problem and Solutions

Consensus Theory for Cognitive Agents’ Unstructured Knowledge Conflicts Resolving in Management Information Systems

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