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Speech Quality in a Telephone Conversation

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Multidimensional Analysis of Conversational Telephone Speech

Part of the book series: T-Labs Series in Telecommunication Services ((TLABS))

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Abstract

The previous chapter introduced the fundamentals of speech communication, the perceived speech quality, the concept of diagnosing speech quality, as well as subjective and instrumental quality assessment methods.

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Notes

  1. 1.

    Note that this separation is only true for a “regular” and “everyday” conversation when the two interlocutors want to exchange information (see Sect. 2.1).

  2. 2.

    The average frequency response of standardized telephone handsets (in sending and receiving direction for NB) are defined as the so-called Intermediate Reference System (IRS) (see [68] and Annex D of [69]).

  3. 3.

    For example White Noise with a constant magnitude spectrum or Pink Noise with a magnitude descending spectrum.

  4. 4.

    Note that the reviewed studies are not all studies conducted to analyze the perceptual quality space of transmitted speech in the Listening Phase. The presented studies are chosen because they meet the scope of this book. For more information, see for example, [90, 91], or [92].

  5. 5.

    Here, for demonstration the delay between side A and side B is equal to the delay between side B and A. In real speech transmission systems, the delays may differ due to the codec or packet and buffer sizes in VoIP systems.

  6. 6.

    The label of the utterance is given in three characters: the first letter gives the interlocutor who is speaking, the number corresponds to the number of the utterance, and the indexed letter gives the side at which the utterance occurs.

  7. 7.

    The SNR is a widely used and easy to calculate full-reference signal-based measure to assess the quality of a transmitted speech signal. It calculates the ratio between the energy of the input signal and the noise introduced by the transmission system. However, the SNR is a poor estimator for speech quality as it does not consider human perception and time-varying distortions [3].

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Correspondence to Friedemann Köster .

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© 2018 Springer Nature Singapore Pte Ltd.

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Köster, F. (2018). Speech Quality in a Telephone Conversation. In: Multidimensional Analysis of Conversational Telephone Speech. T-Labs Series in Telecommunication Services. Springer, Singapore. https://doi.org/10.1007/978-981-10-5224-8_3

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  • DOI: https://doi.org/10.1007/978-981-10-5224-8_3

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  • Online ISBN: 978-981-10-5224-8

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