Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models
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Abstract (arXiv)
Code-switching (CS) is common in daily conversations where more than one language is used within a sentence. The difficulties of CS speech recognition lie in alternating languages and the lack of transcribed data. Therefore, this paper uses the recently successful self-supervised learning (SSL) methods to leverage many unlabeled speech data without CS. We show that hidden representations of SSL models offer frame-level language identity even if the models are trained with English speech only. Jointly training CTC and language identification modules with self-supervised speech representations improves CS speech recognition performance. Furthermore, using multilingual speech data for pre-training obtains the best CS speech recognition.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 24 of its 34 references that are in the map. First posted on arXiv 7 Oct 2021.
Builds on
24 of 34 references.
References · 24
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12 more
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Citing papers per year: 2022: 1; 2023: 3; 2024: 2; 2025: 1; 2026: 2.
9 papers.
- 2023Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clusteringcited by 21
- 2023Code-Switching Text Generation and Injection in Mandarin-English ASRcited by 10
- 2024Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decodingcited by 7
- 2023Adapting the adapters for code-switching in multilingual ASRcited by 6
- 2024Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Datacited by 5
- 2026ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Modelscited by 3
- 2022Monolingual Recognizers Fusion for Code-switching Speech Recognitioncited by 2
- 2025Adapting Language Balance in Code-Switching Speechcited by 2
- 2026The Exact Worst-Case Tail Probability under Bounded Kurtosiscited by 0
- 2026The Exact Worst-Case Tail Probability under Bounded Kurtosis6 Jul 2026
- 2026ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models11 Apr 2026
- 2025Adapting Language Balance in Code-Switching Speech21 Oct 2025
- 2024Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding21 Dec 2024
- 2024Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data15 Jul 2024
- 2023Adapting the adapters for code-switching in multilingual ASR11 Oct 2023
- 2023Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering18 May 2023
- 2023Code-Switching Text Generation and Injection in Mandarin-English ASR20 Mar 2023
- 2022Monolingual Recognizers Fusion for Code-switching Speech Recognition2 Nov 2022