SOTAVerified

Spoken language identification

Identify the language being spoken from an audio input only.

Papers

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Showing 1–50 of 51 papers

TitleStatusHype
On the use of Performer and Agent Attention for Spoken Language Identification—0
AfriHuBERT: A self-supervised speech representation model for African languagesCode0
Improving Multilingual ASR in the Wild Using Simple N-best Re-rankingCode0
Exploring Spoken Language Identification Strategies for Automatic Transcription of Multilingual Broadcast and Institutional Speech—0
Generative linguistic representation for spoken language identification—0
Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification—0
Wavelet Scattering Transform for Improving Generalization in Low-Resourced Spoken Language Identification—0
Multimodal Modeling For Spoken Language Identification—0
Robust Open-Set Spoken Language Identification and the CU MultiLang Dataset—0
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizerCode0
Spoken Language Identification System for English-Mandarin Code-Switching Child-Directed SpeechCode0
Improving Spoken Language Identification with Map-MixCode1
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization—0
An Overview of Indian Spoken Language Recognition from Machine Learning Perspective—0
Accidental Learners: Spoken Language Identification in Multilingual Self-Supervised Models—0
A Compact End-to-End Model with Local and Global Context for Spoken Language Identification—0
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource DevicesCode0
EfficientLEAF: A Faster LEarnable Audio Frontend of Questionable UseCode1
Deep learning-based end-to-end spoken language identification system for domain-mismatched scenario—0
Adversarial synthesis based data-augmentation for code-switched spoken language identification—0
Automatic Spoken Language Identification using a Time-Delay Neural Network—0
Pretraining Approaches for Spoken Language Recognition: TalTech Submission to the OLR 2021 Challenge—0
Automated speech tools for helping communities process restricted-access corpora for language revival efforts—0
Transducer-based language embedding for spoken language identification—0
Improving Language Identification of Accented Speech—0
Partial Coupling of Optimal Transport for Spoken Language Identification—0
BERT-LID: Leveraging BERT to Improve Spoken Language IdentificationCode1
mSLAM: Massively multilingual joint pre-training for speech and text—0
Is Attention always needed? A Case Study on Language Identification from Speech—0
SIGTYP 2021 Shared Task: Robust Spoken Language Identification—0
Language ID Prediction from Speech Using Self-Attentive Pooling—0
Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification—0
Low-Resource Spoken Language Identification Using Self-Attentive Pooling and Deep 1D Time-Channel Separable Convolutions—0
Cross-Corpora Language Recognition: A Preliminary Investigation with Indian Languages—0
Language ID Prediction from Speech Using Self-Attentive Pooling and 1D-Convolutions—0
Unsupervised neural adaptation model based on optimal transport for spoken language identification—0
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification SystemsCode1
VoxLingua107: a Dataset for Spoken Language RecognitionCode1
VOXLINGUA107: A DATASET FOR SPOKEN LANGUAGE RECOGNITION—0
Rediscovering the Slavic Continuum in Representations Emerging from Neural Models of Spoken Language Identification—0
Exploiting Spectral Augmentation for Code-Switched Spoken Language Identification—0
A Study on Spoken Language Identification using Deep Neural Networks—0
Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic LanguagesCode0
On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification—0
Improving Language Identification for Multilingual Speakers—0
Spoken Language Identification using ConvNets—0
Methods for Spoken Language Identification—0
Language Identification Using Deep Convolutional Recurrent Neural NetworksCode0
Spoken Language Identification with Phonotactics Methods on Minangkabau, Sundanese, and Javanese Languages—0
Automatic Dialect Detection in Arabic Broadcast SpeechCode0
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