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Xin Jing

7 papers hereh-index 554 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SD5
  • cs.AI1
  • eess.AS1
same name
  • Xin Jing — 10 papers, h 8
  • Xin Jing — 9 papers, h 6
  • Xin Jing — 4 papers, h 3
  • Xin Jing — 1 paper, h 2
  • Xin Jing — 1 paper, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SD2024

Audio-based Kinship Verification Using Age Domain Conversion

Qiyang Sun, Alican Akman, Xin Jing +2

Audio-based kinship verification (AKV) is important in many domains, such as home security monitoring, forensic identification, and social network analysis. A key challenge in the…

cs.SD2024

Enhancing Emotional Text-to-Speech Controllability with Natural Language Guidance through Contrastive Learning and Diffusion Models

Xin Jing, Kun Zhou, Andreas Triantafyllopoulos +1

While current emotional text-to-speech (TTS) systems can generate highly intelligible emotional speech, achieving fine control over emotion rendering of the output speech still rem…

eess.AS2024

DB3V: A Dialect Dominated Dataset of Bird Vocalisation for Cross-corpus Bird Species Recognition

Xin Jing, Luyang Zhang, Jiangjian Xie +3

In ornithology, bird species are known to have variedit's widely acknowledged that bird species display diverse dialects in their calls across different regions. Consequently, comp…

cs.SD2024

ParaCLAP -- Towards a general language-audio model for computational paralinguistic tasks

Xin Jing, Andreas Triantafyllopoulos, Björn Schuller

Contrastive language-audio pretraining (CLAP) has recently emerged as a method for making audio analysis more generalisable. Specifically, CLAP-style models are able to `answer' a…

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