4 papers
CHILDES-Aligned: A Curated Children's Speech Dataset via Multi-Model Timestamp Ensembling
Haolong Zheng, Yuanzhuo Hu, Xinyu Liang +7
CHILDES is a large-scale child speech corpus containing long-form recordings of naturalistic child-adult interactions, making it a valuable resource for studying child speech and l…
Granite-speech: open-source speech-aware LLMs with strong English ASR capabilities
George Saon, Avihu Dekel, Alexander Brooks +21
Granite-speech LLMs are compact and efficient speech language models specifically designed for English ASR and automatic speech translation (AST). The models were trained by modali…
A Non-autoregressive Model for Joint STT and TTS
Vishal Sunder, Brian Kingsbury, George Saon +5
In this paper, we take a step towards jointly modeling automatic speech recognition (STT) and speech synthesis (TTS) in a fully non-autoregressive way. We develop a novel multimoda…
Improving Transducer-Based Spoken Language Understanding with Self-Conditioned CTC and Knowledge Transfer
Vishal Sunder, Eric Fosler-Lussier
In this paper, we propose to improve end-to-end (E2E) spoken language understand (SLU) in an RNN transducer model (RNN-T) by incorporating a joint self-conditioned CTC automatic sp…