Titlebook: Human and Automatic Speaker Recognition over Telecommunication Channels; Laura Fernández Gallardo Book 2016 Springer Science+Business Medi

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Relations Among Speech Quality, Human Speaker Identification, and Automatic Speaker Verification,e estimation of speaker recognition performances from instrumental quality measures calculated from differently distorted speech signals. Such relationships found empirically may be useful for network planning purposes when the effects of the transmission channel need to be evaluated, but when condu

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Laura Fernández Gallardoche Psyche, K?rper, Wissen, Motivation, Verhalten und Instrumente, mit denen Problemlagen identifiziert und Erfolge gemessen werden k?nnen. Konkrete Tipps, Fallbeispiele, Experteninterviews sowie Arbeitsmaterialien im Internet (Abbildungen und Pr?sentationen für Dozenten, Worshop-Abl?ufe) machen es

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Human and Automatic Speaker Recognition over Telecommunication Channels

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Introduction,nsmission 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 difficult

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Literature Review,iterature review, divided into three parts: channel quality evaluation, human speaker recognition, and automatic speaker recognition. Different procedures for evaluation and main outcomes relevant to this work are indicated. The review of channel quality evaluation reports the current status of inve

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Human Speaker Identification Performance Under Channel Degradations,listening tests. Comparisons between NB, WB, and SWB channels are shown, as well as how the human performance is affected by the degradations introduced by speech coding, random packet loss, and electro-acoustic user interfaces in sending and in receiving direction. The participants of the listening

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Importance of Intelligible Phonemes for Human Speaker Recognition in Different Bandwidths,ces in performance when the stimuli are presented to listeners in NB or in WB. It is known that nasal consonants and vowels are more effective than other phonemes for human speaker recognition [6]. However, the influence of channel transmissions on the speaker-discriminative capabilities of phonemes