The influence of speech coding on recognition performance in telecommunication networks

Hirsch, Hans‐Günter

doi:10.21437/icslp.2002-539

Cited by 11 publications

References 4 publications

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Human and Automatic Speaker Recognition over Telecommunication Channels

Gallardo¹

2016

T-Labs Series in Telecommunication Services

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The automatic detection of people's identity from their voices is part of modern telecommunication services. This generally requires the telephone transmission of the speech to remote servers that perform the recognition task. The transmission may introduce severe distortions that degrade the system performance and hence represents one of the major challenges speech technologies are currently facing.Similarly, humans also cope with the difficulty of reliably identifying talkers from speech transmitted over communication channels, particularly if the utterance heard is of short duration. The present research work addresses the evaluation of the human and of the automatic performances under different channel distortions caused by bandwidth limitation, codecs, and electro-acoustic user interfaces, among other impairments. Its main contribution is the demonstration of the benefits of communication channels of extended bandwidth, together with an insight into how speaker-specific characteristics of speech are preserved through different transmissions. It provides sufficient motivation for considering speaker recognition as a criterion for the migration from narrowband to enhanced bandwidths, such as wideband and super-wideband.

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Human and Automatic Speaker Recognition over Telecommunication Channels

Gallardo¹

2016

T-Labs Series in Telecommunication Services

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Weighted Viterbi decoding strategies for distributed speech recognition over IP networks

Cardenal-López

Garcı́a-Mateo

Docío-Fernández

2006

Speech Communication

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Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition

Vicente-Peña

Gallardo-Antolín

Peláez-Moreno

et al. 2006

Speech Communication

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In this paper we address the problem of automatic speech recognition when wireless speech communication systems are involved. In this context, three main sources of distortion should be considered: acoustic environment, speech coding and transmission errors. Whilst the first one has already received a lot of attention, the last two deserve further investigation in our opinion. We have found out that band-pass filtering of the recognition features improves ASR performance when distortions due to these particular communication systems are present. Furthermore, we have evaluated two alternative configurations at different Bit Error Rates (BER) typical of these channels: band-pass filtering the LP-MFCC parameters or a modification of the RASTA-PLP using a sharper low-pass section perform consistently better than LP-MFCC and RASTA-PLP, respectively.

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The influence of speech coding on recognition performance in telecommunication networks

Cited by 11 publications

References 4 publications

Human and Automatic Speaker Recognition over Telecommunication Channels

Human and Automatic Speaker Recognition over Telecommunication Channels

Weighted Viterbi decoding strategies for distributed speech recognition over IP networks

Band-pass filtering of the time sequences of spectral parameters for robust wireless speech recognition

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