Mandarin dataset

The Mandarin dataset contains minimal pairs used to evaluate prosodic contrasts, specifically focusing on Mandarin tone, in speech representations from self-supervised speech models.

Papers using Mandarin dataset (16)

Language Barriers: Evaluating Cross-Lingual Performance of CNN and Transformer Architectures for Speech Quality Estimation2025 · 1 citesToward Unified Chinese Multi-Dialectal Speech Recognition via Pinyin Intermediate Representation2026Prosodic ABX: A Language-Agnostic Method for Measuring Prosodic Contrast in Speech Representations2026Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMs2026SITA: Learning Speaker-Invariant and Tone-Aware Speech Representations for Low-Resource Tonal Languages2026Unsupervised lexicon learning from speech is limited by representations rather than clustering2025HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation2025A Self-Refining Framework for Enhancing ASR Using TTS-Synthesized Data2025Analyzing Acoustic Word Embeddings from Pre-trained Self-supervised Speech Models2022 · 1 citesMulti-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition2023Effects of Convolutional Autoencoder Bottleneck Width on StarGAN-based Singing Technique Conversion2023Accent-VITS:accent transfer for end-to-end TTS2023Period Singer: Integrating Periodic and Aperiodic Variational Autoencoders for Natural-Sounding End-to-End Singing Voice Synthesis2024PRESENT: Zero-Shot Text-to-Prosody Control2024LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation2024Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?2024