activity
20242026
collaborators

7 papers

cs.SD2026

Do speech foundation models perceive speaker similarity as humans do?

Minoru Kishi, Hayato Yagi, Shinnosuke Takamichi +1

This study presents a comparative analysis between the speaker embeddings of speech foundation models and human subjective perception of speaker similarity. Human listeners have th…

cs.CL2026

Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation

Ryota Kawamatsu, Anum Afzal, Yuki Saito +5

We present a low-latency real-time audio game commentary system that generates spoken commentary directly from live gameplay video. In this end-to-end setting, a key bottleneck is…

cs.CL2026

Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches

Anum Afzal, Yuki Saito, Hiroya Takamura +5

Real-time video commentary generation provides textual descriptions of ongoing events in videos. It supports accessibility and engagement in domains such as sports, esports, and li…

cs.SD2025

Spatial-CLAP: Learning Spatially-Aware audio--text Embeddings for Multi-Source Conditions

Kentaro Seki, Yuki Okamoto, Kouei Yamaoka +3

Contrastive language--audio pretraining (CLAP) has achieved remarkable success as an audio--text embedding framework, but existing approaches are limited to monaural or single-sour…

cs.SD2025

RELATE: Subjective evaluation dataset for automatic evaluation of relevance between text and audio

Yusuke Kanamori, Yuki Okamoto, Taisei Takano +3

In text-to-audio (TTA) research, the relevance between input text and output audio is an important evaluation aspect. Traditionally, it has been evaluated from both subjective and…

eess.AS2025

Human-CLAP: Human-perception-based contrastive language-audio pretraining

Taisei Takano, Yuki Okamoto, Yusuke Kanamori +3

Contrastive language-audio pretraining (CLAP) is widely used for audio generation and recognition tasks. For example, CLAPScore, which utilizes the similarity of CLAP embeddings, h…

cs.SD2024

Construction and Analysis of Impression Caption Dataset for Environmental Sounds

Yuki Okamoto, Ryotaro Nagase, Minami Okamoto +4

Some datasets with the described content and order of occurrence of sounds have been released for conversion between environmental sound and text. However, there are very few texts…