788 citations · 789 across the 10 of their papers we have counts for
6 papers · 1 filter
HARP: Agentic Hybrid Retrieval and Analysis for Long-Form Audio
Chin-Jou Li, Masao Someki, Woojeong Jin +4
Long-form audio analysis requires systems to localize and integrate evidence distributed across extended recordings. While existing work primarily retrieves semantic content throug…
ESPnet3: Infrastructure for Scalable Speech and Audio Research in the Foundation Model Era
Masao Someki, Alexander Polok, Carlos Carvalho +14
Recent speech research involves increasingly large datasets, complex models, and diverse experimental workflows. However, existing frameworks require substantial engineering effort…
On-device Streaming Discrete Speech Units
Kwanghee Choi, Masao Someki, Emma Strubell +1
Discrete speech units (DSUs) are derived from clustering the features of self-supervised speech models (S3Ms). DSUs offer significant advantages for on-device streaming speech appl…
Context-Driven Dynamic Pruning for Large Speech Foundation Models
Masao Someki, Shikhar Bharadwaj, Atharva Anand Joshi +7
Speech foundation models achieve strong generalization across languages and acoustic conditions, but require significant computational resources for inference. In the context of sp…
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference
Masao Someki, Nicholas Eng, Yosuke Higuchi +1
Attention-based encoder-decoder models with autoregressive (AR) decoding have proven to be the dominant approach for automatic speech recognition (ASR) due to their superior accura…
ESPnet-ONNX: Bridging a Gap Between Research and Production
Masao Someki, Yosuke Higuchi, Tomoki Hayashi +1
In the field of deep learning, researchers often focus on inventing novel neural network models and improving benchmarks. In contrast, application developers are interested in maki…