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Philipp Koehn

7 papers hereh-index 6435 citations16 works total

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

author position
  • sole author1
  • middle author3
  • last author3

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

fields
  • cs.CL4
  • astro-ph.IM1
  • cs.CV1
  • eess.AS1
same name
  • Philipp Koehn — 38 papers, h 69
  • Philipp Koehn — 13 papers, h 6
  • Philipp Koehn — 9 papers, h 10
  • Philipp Koehn — 5 papers, h 5
  • Philipp Koehn — 3 papers, h 4
  • Philipp Koehn — 2 papers, h 4

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
20172026
collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

HadaSmileNet: Hadamard fusion of handcrafted and deep-learning features for enhancing facial emotion recognition of genuine smiles

Mohammad Junayed Hasan, Nabeel Mohammed, Shafin Rahman +1

The distinction between genuine and posed emotions represents a fundamental pattern recognition challenge with significant implications for data mining applications in social scien…

cs.CL2025

Speech Vecalign: an Embedding-based Method for Aligning Parallel Speech Documents

Chutong Meng, Philipp Koehn

We present Speech Vecalign, a parallel speech document alignment method that monotonically aligns speech segment embeddings and does not depend on text transcriptions. Compared to…

eess.AS2025

Objective Evaluation of Prosody and Intelligibility in Speech Synthesis via Conditional Prediction of Discrete Tokens

Ismail Rasim Ulgen, Zongyang Du, Junchen Lu +2

Objective evaluation of synthesized speech is critical for advancing speech generation systems, yet existing metrics for intelligibility and prosody remain limited in scope and wea…

cs.CL2025

HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation

Shijie Zhang, Renhao Li, Songsheng Wang +3

The advancement of Large Language Models (LLMs) enables flexible and interpretable automatic evaluations. In the field of machine translation evaluation, utilizing LLMs with transl…

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