On the public citation graph

Transformer with Bidirectional Decoder for Speech Recognition

https://doi.org/10.21437/interspeech.2020-2677

0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/asru46091.2019.9003844openalex-snapshot

Speaker-Aware Speech-Transformer

inferredcites →https://doi.org/10.1109/icassp.2016.7472618openalex-snapshot

End-to-end attention-based large vocabulary speech recognition

inferredcites →https://doi.org/10.1109/icassp.2016.7472621openalex-snapshot

Listen, attend and spell: A neural network for large vocabulary conversational speech recognition

inferredcites →https://doi.org/10.1109/icassp.2018.8461935openalex-snapshot

Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition

inferredcites →https://doi.org/10.1109/icassp.2018.8462506openalex-snapshot

Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition

inferredcites →https://doi.org/10.1109/icassp.2019.8682336openalex-snapshot

Streaming End-to-end Speech Recognition for Mobile Devices

inferredcites →https://doi.org/10.1109/icassp.2019.8682490openalex-snapshot

Component Fusion: Learning Replaceable Language Model Component for End-to-end Speech Recognition System

inferredcites →https://doi.org/10.1109/icassp40776.2020.9053165openalex-snapshot

Transformer-Based Online CTC/Attention End-To-End Speech Recognition Architecture

inferredcites →https://doi.org/10.1109/icassp40776.2020.9054116openalex-snapshot

Independent Language Modeling Architecture for End-To-End ASR

inferredcites →https://doi.org/10.1109/icassp40776.2020.9054188openalex-snapshot

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency

inferredcites →https://doi.org/10.1109/icassp40776.2020.9054476openalex-snapshot

Streaming Automatic Speech Recognition with the Transformer Model

inferredcites →https://doi.org/10.1109/icassp40776.2020.9054715openalex-snapshot

Towards Fast and Accurate Streaming End-To-End ASR

inferredcites →https://doi.org/10.1109/icsda.2017.8384449openalex-snapshot

AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline

inferredcites →https://doi.org/10.1162/tacl_a_00256openalex-snapshot

Synchronous Bidirectional Neural Machine Translation

inferredcites →https://doi.org/10.1609/aaai.v32i1.11984openalex-snapshot

Asynchronous Bidirectional Decoding for Neural Machine Translation

inferredcites →https://doi.org/10.21437/interspeech.2018-1107openalex-snapshot

Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese

inferredcites →https://doi.org/10.21437/interspeech.2019-1938openalex-snapshot

Improving Transformer-Based End-to-End Speech Recognition with Connectionist Temporal Classification and Language Model Integration

inferredcites →https://doi.org/10.21437/interspeech.2019-2112openalex-snapshot

Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation

inferredcites →https://doi.org/10.21437/interspeech.2019-2203openalex-snapshot

Self-Attention Transducers for End-to-End Speech Recognition

inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot

Exploiting Generative AI to Scale up Intelligent Tutoring Systems

inferredcites →https://doi.org/10.4230/oasics.slate.2021.16openalex-snapshot

Deep Speech: Scaling up end-to-end speech recognition

inferredcites →https://doi.org/10.48550/arxiv.1211.3711openalex-snapshot

Sequence Transduction with Recurrent Neural Networks

inferredcites →https://doi.org/10.48550/arxiv.1512.02595openalex-snapshot

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

inferredcites →https://doi.org/10.48550/arxiv.1904.11660openalex-snapshot

Transformers with convolutional context for ASR

inferredcites →https://doi.org/10.48550/arxiv.1910.09932openalex-snapshot

Improving Transformer-based Speech Recognition Using Unsupervised Pre-training

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4676715openalex-extracted

Dvsa: A Focused and Efficient Sparse Attention Via Explicit Selection for Speech Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-70566-3_7openalex-snapshot

Improved Alignment for Score Combination of RNN-T and CTC Decoder for Online Decoding

inferred← citeshttps://doi.org/10.1007/978-3-031-80136-5_11openalex-snapshot

Collaborative Transformer Decoder Method for Uyghur Speech Recognition in-Vehicle Environment

inferred← citeshttps://doi.org/10.1007/978-3-032-13048-8_11openalex-snapshot

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

inferred← citeshttps://doi.org/10.1007/s00138-022-01329-3openalex-snapshot

BiTransformer: augmenting semantic context in video captioning via bidirectional decoder

inferred← citeshttps://doi.org/10.1016/j.specom.2025.103300openalex-snapshot

DVSA: A focused and efficient sparse attention via explicit selection for speech recognition

inferred← citeshttps://doi.org/10.1109/asru51503.2021.9688053openalex-snapshot

Decoupling Recognition and Transcription in Mandarin ASR

inferred← citeshttps://doi.org/10.1109/ccdc55256.2022.10034196openalex-snapshot

Adaptive Mask Based Attention Mechanism for Mandarin Speech Recognition

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746285openalex-snapshot

Quantized Winograd Acceleration for CONV1D Equipped ASR Models on Mobile Devices

inferred← citeshttps://doi.org/10.1109/icassp43922.2022.9746903openalex-snapshot

Non-Autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition

inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228602openalex-snapshot

Mamba-based Layer-wise Progressive Fusion Network with Depthwise Enhancement for Low-resource Speech Recognition

inferred← citeshttps://doi.org/10.1109/isbi61048.2026.11515627openalex-snapshot

Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound

inferred← citeshttps://doi.org/10.1109/jstsp.2022.3200910openalex-snapshot

Towards Better Domain Adaptation for Self-Supervised Models: A Case Study of Child ASR

inferred← citeshttps://doi.org/10.18653/v1/2021.acl-long.18openalex-snapshot

Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder

inferred← citeshttps://doi.org/10.2139/ssrn.4877236openalex-snapshot

Dvsa: A Focused and Efficient Sparse Attention Via Explicit Selection for Speech Recognition

inferred← citeshttps://doi.org/10.2139/ssrn.5005240openalex-snapshot

Dvsa: A Focused and Efficient Sparse Attention Via Explicit Selection for Speech Recognition

inferred← citeshttps://doi.org/10.3390/e24070866openalex-snapshot

An Improvement to Conformer-Based Model for High-Accuracy Speech Feature Extraction and Learning

inferred← citeshttps://doi.org/10.3390/info13020069openalex-snapshot

A Bidirectional Context Embedding Transformer for Automatic Speech Recognition

inferred← citeshttps://doi.org/10.3390/s24123846openalex-snapshot

Nonlinear Regularization Decoding Method for Speech Recognition

inferred← citeshttps://doi.org/10.48550/arxiv.2106.05642openalex-snapshot

U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.