1994
DOI: 10.1016/0167-6393(94)90063-9
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Auditory distortion measure for speech coder evaluation — Discrimination information approach

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Cited by 8 publications
(3 citation statements)
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“…Due to the lack of our knowledge abont the exact neural conversion process, wc compare the probability distributions for firing and non-firing, derived from an original and a coded signal, to quantify the degree of distortion. The discrimination information which has emerged as a powerful tool [67] for rileasuring the 'doseness' of two probability density or distribution fllnctions is applied here for defining a coch/ear discrimination information (CDf) measure [68,69]. In the first part of this chapter, we formulate the CDI measllre and study speech coder performances with it.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the lack of our knowledge abont the exact neural conversion process, wc compare the probability distributions for firing and non-firing, derived from an original and a coded signal, to quantify the degree of distortion. The discrimination information which has emerged as a powerful tool [67] for rileasuring the 'doseness' of two probability density or distribution fllnctions is applied here for defining a coch/ear discrimination information (CDf) measure [68,69]. In the first part of this chapter, we formulate the CDI measllre and study speech coder performances with it.…”
Section: Introductionmentioning
confidence: 99%
“…Table 6.1 summarises these rating systems with their corresponding meaning. Within the last two decades, many intrusive speech quality estimation models such as those mentioned in [142,144,145,146,147] [152], are outlined as follows:…”
Section: Discussionmentioning
confidence: 99%
“…Μια προτεινόμενη περιοχή. Αλλα κριτήρια βασισμένα σε μοντέλα ακοής που έχουν αναπτυχθεί είναι το PERCEVAL[200], το οποίο βασίζεται σε ένα μοντέλο ακοής και υπολογίζει την πιθανότητα ανίχνευσης θορύβου, το κριτήριο Ηχηρότητας Θορύβου (Noise Loudness) (εκφρασμένο σαν το λόγο της ηχηρότητας θορύβου προς σήμα αναφοράς) βασισμένο επίσης σε μοντέλο ακοής[210],[139], το PAQM (Perceptual Audio Quality Measure)[140] και το PSQM (Perceptual Speech Quality Measure)[141], το κριτήριο διαφοροποίησης της πληροφορίας του κοχλία (CDI), το οποίο, βασισμένο σε εσωτερικό μοντέλο ακοής, συγκρίνει την πιθανότητα πυροδότησης των νευρώνων για το σήμα αναφοράς και το τεστ σήμα[149], και διάφορα άλλα[218],[216]. Από αυτά, αρκετά συσχετιζόμενο με υποκειμενικά πειράματα είναι το NMR και το PAQM[140].…”
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