Distant Speech Recognition

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

10 shown of 10 papers with code (30 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• The PyTorch-Kaldi Speech Recognition Toolkit
  19 Nov 2018 11 repositories listed Syntology ran 5 of 6 samples · 1 unverified · 6 pointer-only (licence)
  Experiments, that are conducted on several datasets and tasks, show that PyTorch-Kaldi can effectively be used to develop modern state-of-the-art speech recognizers.
• Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
  10 Jan 2017 3 repositories listed
  The residual LSTM provides an additional spatial shortcut path from lower layers for efficient training of deep networks with multiple LSTM layers.
• MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods
  21 Jun 2021 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Two subdatasets are currently available: one consists of IRs in a three-dimensional cuboidal region from a single source, and the other consists of IRs in a two-dimensional square region from an array of 32 sources.
• The DIRHA-English corpus and related tasks for distant-speech recognition in domestic environments
  6 Oct 2017 2 repositories listed
  This paper introduces the contents and the possible usage of the DIRHA-ENGLISH multi-microphone corpus, recently realized under the EC DIRHA project.
• Learning to Rank Microphones for Distant Speech Recognition
  6 Apr 2021 1 repository listed
  Fully exploiting ad-hoc microphone networks for distant speech recognition is still an open issue.
• Quaternion Neural Networks for Multi-channel Distant Speech Recognition
  18 May 2020 1 repository listed
  In this paper, we propose to capture these inter- and intra- structural dependencies with quaternion neural networks, which can jointly process multiple signals as whole quaternion entities.
• Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
  6 Apr 2019 1 repository listed
  Learning good representations without supervision is still an open issue in machine learning, and is particularly challenging for speech signals, which are often characterized by long sequences with a complex…
• Interpretable Convolutional Filters with SincNet
  23 Nov 2018 1 repository listed
  Deep learning is currently playing a crucial role toward higher levels of artificial intelligence.
• Contaminated speech training methods for robust DNN-HMM distant speech recognition
  10 Oct 2017 1 repository listed
  Despite the significant progress made in the last years, state-of-the-art speech recognition technologies provide a satisfactory performance only in the close-talking condition.
• Open Source German Distant Speech Recognition: Corpus and Acoustic Model
  11 Dec 2015 1 repository listed
  We present a new freely available corpus for German distant speech recognition and report speaker-independent word error rate (WER) results for two open source speech recognizers trained on this corpus.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.