Streaming Speech-to-Confusion Network Speech Recognition

Denis Filimonov, Prabhat Pandey, Ariya Rastrow, Ankur Gandhe, Andreas Stolcke
6/2/2023
eess.AScs.CL

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

In interactive automatic speech recognition (ASR) systems, low-latency requirements limit the amount of search space that can be explored during decoding, particularly in end-to-end neural ASR. In this paper, we present a novel streaming ASR architecture that outputs a confusion network while maintaining limited latency, as needed for interactive applications. We show that 1-best results of our model are on par with a comparable RNN-T system, while the richer hypothesis set allows second-pass rescoring to achieve 10-20\% lower word error rate on the LibriSpeech task. We also show that our model outperforms a strong RNN-T baseline on a far-field voice assistant task.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Stateful Conformer with Cache-based Inference for Streaming Automatic Speech Recognition

83% match2023

Compute Cost Amortized Transformer for Streaming ASR

82% match2022

DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification

82% match1 repo412023

Typhoon ASR Streaming: Steerable Low-Latency Thai Speech Recognition with Real-Time Shallow Fusion

82% match2026

WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkit

82% match1 repo5.2k2021

Partial Rewriting for Multi-Stage ASR

82% match2023

Cite this paper

@article{filimonov2023streaming,
  title  = {Streaming Speech-to-Confusion Network Speech Recognition},
  author = {Denis Filimonov and Prabhat Pandey and Ariya Rastrow and Ankur Gandhe and Andreas Stolcke},
  year   = {2023},
  eprint = {2306.03778},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2306.03778v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2306.03778.svg)](https://codeofpaper.com/paper/2306.03778)

Discussion