Topological Data Analysis for Speech Processing

Tulchinskii, Eduard; Kuznetsov, Kristian; Kushnareva, Laida; Cherniavskii, Daniil; Barannikov, Serguei; Piontkovskaya, Irina; Nikolenko, Sergey I.; Burnaev, Evgeny

doi:10.21437/interspeech.2023-1861

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Negative Log-curvature (Nlc)1

Stylometric Variation1

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2023

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(2 citation statements)

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“…Our task involves identifying stylometric variations among these 16 authors. After examining other alternatives put forth in previous studies such as (Tulchinskii et al, 2023), we encountered difficulties in drawing meaningful conclusions regarding the suitability of these methods for AGTD. Therefore, we focus our investigations on a specific approach that involves using perplexity (as a syntactic feature) and burstiness (as a lexical choice feature) as density functions to identify a specific LLM.…”

Section: Negative Log-curvature (Nlc)mentioning

confidence: 99%

“…Furthermore, texts composed by different authors inevitably leave behind their unique traces and characteristics. Furthermore, a recent paper by Tulchinskii et al (2023) introduced the concept of intrinsic dimensionality estimation, which can be described as a stylometric analysis. However, this paper is currently available only on arXiv and lacks an implemented solution.…”

Section: Stylometric Variationmentioning

confidence: 99%

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