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        <identifier>oai:figshare.com:article/34056129</identifier>
        <datestamp>2026-10-02T10:11:57Z</datestamp>
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          <dc:title>Raw data</dc:title>
          <dc:creator>Nikita Suthar (25301706)</dc:creator>
          <dc:subject>Corpus linguistics</dc:subject>
          <dc:subject>Linguistics not elsewhere classified</dc:subject>
          <dc:subject>Phonetics and speech science</dc:subject>
          <dc:subject>Formants (Speech)</dc:subject>
          <dc:subject>spectral measures</dc:subject>
          <dc:subject>Vowels</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This PhD project investigates the significance of within-formant measurements for the vowels [i:], [ɪ], [e], [ə], [a:], [o], [u:], and [ʊ], for forensic speaker comparison. It contains six traditional PhD thesis chapters providing background information, as well as three research articles presenting analyses. Data was sourced from the Marwari language, spoken in Rajasthan, India, as a testbed, but its applicability may extend to other languages. Speech was recorded from forty-five female Marwari monolingual speakers representing three caste dialects (fifteen per variety). Three speech elicitation techniques were used: reading from a wordlist, telling stories around picture stimuli, and engaging in conversation. The research contributes to existing manual systems by providing a semi-supervised feature-based system that may supplement existing ‘manual’ and semi-supervised tools. For legal systems that currently do not accept ASR analysis, it provides a more interpretable and reproducible approach.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;br&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-10-02T10:11:57Z</dc:date>
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