Spoken language identification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

12 leaderboard tables shown for this task, 12 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. 10 shown of 12 until expanded.

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

13 shown of 13 papers with code (51 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.

• VoxLingua107: a Dataset for Spoken Language Recognition
  25 Nov 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Speech activity detection and speaker diarization are used to extract segments from the videos that contain speech.
• AfriHuBERT: A self-supervised speech representation model for African languages
  30 Sep 2024 1 repository listed
  In this work, we present AfriHuBERT, an extension of mHuBERT-147, a compact self-supervised learning (SSL) model pretrained on 147 languages.
• Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking
  27 Sep 2024 1 repository listed
  Multilingual Automatic Speech Recognition (ASR) models are typically evaluated in a setting where the ground-truth language of the speech utterance is known, however, this is often not the case for most practical…
• Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer
  14 Jun 2023 1 repository listed
  Code-Switching (CS) multilingual Automatic Speech Recognition (ASR) models can transcribe speech containing two or more alternating languages during a conversation.
• Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech
  1 Jun 2023 1 repository listed
  This work focuses on improving the Spoken Language Identification (LangId) system for a challenge that focuses on developing robust language identification systems that are reliable for non-standard, accented…
• Improving Spoken Language Identification with Map-Mix
  16 Feb 2023 1 repository listed
  The pre-trained multi-lingual XLSR model generalizes well for language identification after fine-tuning on unseen languages.
• EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable Use
  12 Jul 2022 1 repository listed
  In audio classification, differentiable auditory filterbanks with few parameters cover the middle ground between hard-coded spectrograms and raw audio.
• Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices
  12 Jul 2022 1 repository listed
  This work introduces BRILLsson, a novel binary neural network-based representation learning model for a broad range of non-semantic speech tasks.
• BERT-LID: Leveraging BERT to Improve Spoken Language Identification
  1 Mar 2022 1 repository listed
  It has a profound impact on the multilingual interoperability of an intelligent speech system.
• Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
  3 Dec 2020 1 repository listed
  Even though the models trained using Triplet Entropy Loss showed a better understanding of the languages and higher accuracies, it appears as though the models still memorise word patterns present in the spectrograms…
• Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages
  2 Aug 2020 1 repository listed
  State-of-the-art spoken language identification (LID) systems, which are based on end-to-end deep neural networks, have shown remarkable success not only in discriminating between distant languages but also between…
• Language Identification Using Deep Convolutional Recurrent Neural Networks
  16 Aug 2017 1 repository listed
  Language Identification (LID) systems are used to classify the spoken language from a given audio sample and are typically the first step for many spoken language processing tasks, such as Automatic Speech Recognition…
• Automatic Dialect Detection in Arabic Broadcast Speech
  23 Sep 2015 1 repository listed
  We used these features in a binary classifier to discriminate between Modern Standard Arabic (MSA) and Dialectal Arabic, with an accuracy of 100%.

Syntology lines on 1 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.