Spoken language identification
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Benchmarks
LRE07
VoxForge European
VoxForge Commonwealth
IndicTTS
VoxForge
KALAKA-3
VOXLINGUA107
Most implemented
VoxLingua107: a Dataset for Spoken Language Recognition
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer
Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed Speech
Improving Spoken Language Identification with Map-Mix
Papers
Code-Switching Spoken Language Identification as Multi-Label Set Prediction
Code-switched (CS) speech leaks through the monolingual language identification (LID) filters used to curate massive speech corpora, calling for CS-aware LID (CS-LID). We formulate utterance-level CS-LID as multi-label l…
Spoken language identificationSpoken Language Identification with Pre-trained Models and Margin Loss
For the speaker-controlled spoken language identification task proposed in the TidyLang Challenge 2026, this paper proposes a language identification method based on pre-trained models and margin-based losses. The propos…
Spoken language identificationGeolocation-Aware Robust Spoken Language Identification
While Self-supervised Learning (SSL) has significantly improved Spoken Language Identification (LID), existing models often struggle to consistently classify dialects and accents of the same language as a unified class. …
Spoken language identificationSelf-Supervised LearningOn the use of Performer and Agent Attention for Spoken Language Identification
One of the methods for language Identification (LID) involves deriving speech representation from pre-trained models using self-supervised learning, followed by fine-tuning the model for the LID task. State-of-the-art ap…
Language IdentificationSelf-Supervised LearningSpoken language identificationAfriHuBERT: A self-supervised speech representation model for African languages
In this work, we present AfriHuBERT, an extension of mHuBERT-147, a compact self-supervised learning (SSL) model pretrained on 147 languages. While mHuBERT-147 covered 16 African languages, we expand this to 1,226 throug…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Cross-corpusLanguage Identification+4Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking
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 setting…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Language IdentificationRe-Ranking+3