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Speech detection is an important first step for audio analysis on media contents, whose goal is to discriminate the presence of speech from non-speech. It remains a challenge owing to various sound sources included in media audio. In this work, we present a novel audio feature extraction method to reflect the acoustic characteristic of the media audio in the timefrequency domain. Since the degree of combination of harmonic and percussive components varies depending on the type of sound source, the audio features which further distinguish between speech and non-speech can be obtained by decomposing the signal into both components. For the evaluation, we use over 20 hours of drama which manually annotated for speech detection as well as 4 full-length movies with annotations released for a research community, whose total length is over 8 hours. Experimental results with deep neural network show superior performance of the proposed in media audio condition.

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A model of the queue operation in a cyclic bandwidth allocation time division multiple access (TDMA) system is proposed and formulas to estimate the queuing delay from the model are derived. In the queue modelling, a cyclic bandwidth allocation algorithm is used, which allocates the bandwidth periodically for multiple access control. From the simplified numerical analysis, one can estimate intuitively the queuing delay in the cyclic bandwidth allocation TDMA system. It will be very useful in system design and implementation.Introduction: The time division multiple access (TDMA) protocol has been applied to various wired and wireless communication networks including passive optical networks (PON) [1][2][3]. The purpose of this TDMA protocol is to avoid packet collisions in the shared medium and then provide reliable communications. It also provides a predictable transfer delay.In TDMA systems, the bandwidth allocation method affects significantly system performance, such as channel utilisation, latency, jitter and packet loss. To analyse the queuing delay in TDMA systems, we used the centralised point to multipoint (P2MP) topology as shown in Fig. 1. The upstream data (or packets) from the station to the access point (AP) are authorised by the AP. There are two bandwidth allocation methods in a TDMA system. One is the static bandwidth allocation (SBA) method for guaranteed bandwidth service and the other is the dynamic bandwidth allocation (DBA) method for on-demand and dynamic traffic services [2].

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