activity
20162023
most citedA Comparative Study on Transformer vs RNN in Speech Applications

788 citations · 1.1k across the 33 of their papers we have counts for

collaborators
Showing cs.SDShow all

5 papers · 1 filter

cs.SD2022

Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR

Xuankai Chang, Niko Moritz, Takaaki Hori +2

Graph-based temporal classification (GTC), a generalized form of the connectionist temporal classification loss, was recently proposed to improve automatic speech recognition (ASR)…

cs.SD2020

Streaming automatic speech recognition with the transformer model

Niko Moritz, Takaaki Hori, Jonathan Le Roux

Encoder-decoder based sequence-to-sequence models have demonstrated state-of-the-art results in end-to-end automatic speech recognition (ASR). Recently, the transformer architectur…

cs.SD2018★ 1 cited

Vectorization of hypotheses and speech for faster beam search in encoder decoder-based speech recognition

Hiroshi Seki, Takaaki Hori, Shinji Watanabe

Attention-based encoder decoder network uses a left-to-right beam search algorithm in the inference step. The current beam search expands hypotheses and traverses the expanded hypo…

cs.SD2018

A Purely End-to-end System for Multi-speaker Speech Recognition

Hiroshi Seki, Takaaki Hori, Shinji Watanabe +2

Recently, there has been growing interest in multi-speaker speech recognition, where the utterances of multiple speakers are recognized from their mixture. Promising techniques hav…

cs.SD2017★ 46 cited

Multichannel End-to-end Speech Recognition

Tsubasa Ochiai, Shinji Watanabe, Takaaki Hori +1

The field of speech recognition is in the midst of a paradigm shift: end-to-end neural networks are challenging the dominance of hidden Markov models as a core technology. Using an…