TEDLIUM-2

TEDLIUM2 is a dataset used to evaluate automatic speech recognition (ASR) systems, containing transcribed audio recordings of TED Talks.

Papers using TEDLIUM-2 (14)

Non-autoregressive Error Correction For Ctc-based ASR With Phone-conditioned Masked LM2022 · 6 citesCJST: CTC Compressor Based Joint Speech And Text Training For Decoder-only ASR2024 · 2 citesBoosting CTC-Based ASR Using LLM-Based Intermediate Loss Regularization2025 · 1 citesCJST: CTC Compressor based Joint Speech and Text Training for Decoder-Only ASR2024Prompting Large Language Models For Zero-shot Domain Adaptation In Speech Recognition2023 · 16 citesHypr: A Comprehensive Study For ASR Hypothesis Revising With A Reference Corpus2023Distilling the Knowledge of BERT for CTC-based ASR2022 · 6 citesPrompting Large Language Models for Zero-Shot Domain Adaptation in Speech Recognition2023 · 2 citesA Lexical-aware Non-autoregressive Transformer-based ASR Model2023Decoupled Structure for Improved Adaptability of End-to-End Models2023HypR: A comprehensive study for ASR hypothesis revising with a reference corpus2023Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition2023Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR2023LV-CTC: Non-autoregressive ASR with CTC and latent variable models2024