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20232026
most citedAligning Speech to Languages to Enhance Code-switching Speech Recognition

5 citations · 8 across the 21 of their papers we have counts for

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eess.AS2026

PhonoVoxtLM: Exploring Single-Codebook Phonological Tokens for Speech Understanding and Generation

Mingrui Liang, Kentaro Onda, Shinji Watanabe

We investigate how speech token representations can support both understanding and generation within a unified speech language model. We present PhonoVoxtLM, built on the existing…

eess.AS2025

Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner

Guan-Ting Lin, Shih-Yun Shan Kuan, Jiatong Shi +4

While full-duplex speech agents enable natural, low-latency interaction by speaking and listening simultaneously, their consistency and task performance in multi-turn settings rema…

eess.AS2025

Spiralformer: Low Latency Encoder for Streaming Speech Recognition with Circular Layer Skipping and Early Exiting

Emiru Tsunoo, Hayato Futami, Yosuke Kashiwagi +2

For streaming speech recognition, a Transformer-based encoder has been widely used with block processing. Although many studies addressed improving emission latency of transducers,…

eess.AS2024

Decoder-only Architecture for Streaming End-to-end Speech Recognition

Emiru Tsunoo, Hayato Futami, Yosuke Kashiwagi +2

Decoder-only language models (LMs) have been successfully adopted for speech-processing tasks including automatic speech recognition (ASR). The LMs have ample expressiveness and pe…

eess.AS2024★ 5 cited

Aligning Speech to Languages to Enhance Code-switching Speech Recognition

Hexin Liu, Xiangyu Zhang, Haoyang Zhang +4

Code-switching (CS) refers to the switching of languages within a speech signal and results in language confusion for automatic speech recognition (ASR). To address language confus…