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Combining Frame-Synchronous and Label-Synchronous Systems for Speech Recognition
15/15 checkable references clean · checked 2026-09-10
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
43 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 15 checked references that resolve
resolves10.1090/S0002-9904-1967-11751-8
An inequality with applications to statistical estimation for probabilistic functions of Markov processes and to a model for ecology
resolves10.1109/TASLP.2016.2598304
Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition
resolves10.1109/TASLP.2019.2922048
Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition
resolves10.1109/TASLP.2021.3069080
Bayesian Learning of LF-MMI Trained Time Delay Neural Networks for Speech Recognition
resolves10.21437/Interspeech.2021-2198
Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning
resolves10.1109/TASLP.2016.2558826
Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models
resolves10.21437/Interspeech.2015-654
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition
resolves10.1109/TASLP.2020.2987752
Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture
resolves10.21437/Interspeech.2017-233
A Comparison of Sequence-to-Sequence Models for Speech Recognition
resolves10.1109/JSTSP.2017.2763455
Hybrid CTC/Attention Architecture for End-to-End Speech Recognition
The 43 references without a DOI — listed, not checked
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no DOI — not checkedngram-1) 13: if ? node ๏ฟฝ๐ ? ๐ ๐ .expanded nodes such that ๏ฟฝ๐ .hist = hist then 14: ๏ฟฝ๐ ? ๐ ๐ .Duplicate(๏ฟฝ ๐ , ๏ฟฝ๐ ) ? Create arc between expanded nodes 15: else 16: ๏ฟฝ๐ ? ๐ ๐ .Duplicate(hist) ? Create expanded node with new history 17: ๐ ๐ .expanded nodes.Append(๏ฟฝ ๐ ) 18: ๏ฟฝ๐ ? ๐ ๐ .Duplicate(๏ฟฝ ๐ , ๏ฟฝ๐ ) ? Create arc between expanded nodes 19: end if 20: post ? LastNItems([cache.GetPost(๏ฟฝ ๐ .hist, ๏ฟฝ ๐ .time), ๏ฟฝ๐ .post], ngram-1) 21: if cache
no DOI — not checkedref4
no DOI — not checkedConnectionist speech recognition: a hybrid approach
no DOI — not checkedThe AMI meeting corpus: A pre-announcement
no DOI — not checkedListen, attend and spell: A neural network for large vocabulary conversational speech recognition
no DOI — not checkedState-of-the-art speech recognition with sequenceto-sequence models
no DOI — not checkedAttention-based models for speech recognition
no DOI — not checkedref13
no DOI — not checkedPosterior probability decoding, confidence estimation and system combination
no DOI — not checkedA post-processing system to yield reduced word error rates: Recognizer output voting error reduction (ROVER)
no DOI — not checkedSequence transduction with recurrent neural networks
no DOI — not checkedConnectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks
no DOI — not checkedConformer: Convolution-augmented Transformer for speech recognition
no DOI — not checkedEnd-to-end speech recognition using lattice-free MMI
no DOI — not checkedTraining language models for long-span cross-sentence evaluation
no DOI — not checkedref24
no DOI — not checkedLattice-free state-level minimum Bayes risk training of acoustic models
no DOI — not checkedTransformers are RNNs: Fast autoregressive Transformers with linear attention
no DOI — not checkedCumulative adaptation for BLSTM acoustic models
no DOI — not checkedSubword regularization: Improving neural network translation models with multiple subword candidates
no DOI — not checkedAn overview on automatic speech attribute transcription (ASAT)
no DOI — not checkedIntegrating source-channel and attention-based sequence-to-sequence models for speech recognition
no DOI — not checkedStreaming automatic speech recognition with the Transformer model
no DOI — not checkedTools for the analysis of benchmark speech recognition tests
no DOI — not checkedSpecAugment: A simple data augmentation method for automatic speech recognition
no DOI — not checkedSemi-orthogonal low-rank matrix factorization for deep neural networks
no DOI — not checkedThe Kaldi speech recognition toolkit
no DOI — not checkedLess is more: Improved RNN-T decoding using limited label context and path merging
no DOI — not checkedTwo-pass end-to-end speech recognition
no DOI — not checkedAdvancing RNN transducer technology for speech recognition
no DOI — not checkedError back propagation for sequence training of context-dependent deep networks for conversational speech transcription
no DOI — not checkedTransformer language models with LSTM-based cross-utterance information representation
no DOI — not checkedSingle headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300
no DOI — not checkedOn the limit of English conversational speech recognition
no DOI — not checkedHybrid autoregressive transducer (HAT)
no DOI — not checkedAttention is all you need
no DOI — not checkedref52
no DOI — not checkedAn investigation of phone-based subword units for end-to-end speech recognition
no DOI — not checkedESPnet: End-to-end speech processing toolkit
no DOI — not checkedCombination of end-to-end and hybrid models for speech recognition
no DOI — not checkedImproved training of endto-end attention models for speech recognition
no DOI — not checkedA segmental CRF approach to large vocabulary continuous speech recognition
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