Imagen de Portada

The Faetar Benchmark: Speech Recognition in a Very Under-Resourced Language

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ong, Michael, Robertson, Sean, Peckham, Leo, de Aberasturi, Alba Jorquera Jimenez, Arkhangorodsky, Paula, Huo, Robin, Sakhardande, Aman, Hallap, Mark, Nagy, Naomi, Dunbar, Ewan
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Sound Audio and Speech Processing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Investigating Transcription Normalization in the Faetar ASR Benchmark
por: Peckham, Leo, et al.
Publicado: (2025)

Bigger is not Always Better: The Effect of Context Size on Speech Pre-Training
por: Robertson, Sean, et al.
Publicado: (2023)

Iterative refinement, not training objective, makes HuBERT behave differently from wav2vec 2.0
por: Huo, Robin, et al.
Publicado: (2025)

Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages
por: Huang, Kuan-Po, et al.
Publicado: (2023)

Interpreting the Role of Visemes in Audio-Visual Speech Recognition
por: Papadopoulos, Aristeidis, et al.
Publicado: (2025)

Quantifying the Role of Textual Predictability in Automatic Speech Recognition
por: Robertson, Sean, et al.
Publicado: (2024)

Uncovering the Visual Contribution in Audio-Visual Speech Recognition
por: Lin, Zhaofeng, et al.
Publicado: (2024)

Identifying and Calibrating Overconfidence in Noisy Speech Recognition
por: Huo, Mingyue, et al.
Publicado: (2025)

Beyond the Utterance: An Empirical Study of Very Long Context Speech Recognition
por: Flynn, Robert, et al.
Publicado: (2026)

Improving Speech Emotion Recognition in Under-Resourced Languages via Speech-to-Speech Translation with Bootstrapping Data Selection
por: Lin, Hsi-Che, et al.
Publicado: (2024)

DiscoPhon: Benchmarking the Unsupervised Discovery of Phoneme Inventories With Discrete Speech Units
por: Poli, Maxime, et al.
Publicado: (2026)

Zero Shot Text to Speech Augmentation for Automatic Speech Recognition on Low-Resource Accented Speech Corpora
por: Nespoli, Francesco, et al.
Publicado: (2024)

AS-ASR: A Lightweight Framework for Aphasia-Specific Automatic Speech Recognition
por: Bao, Chen, et al.
Publicado: (2025)

Code-switching Speech Recognition Under the Lens: Model- and Data-Centric Perspectives
por: Liu, Hexin, et al.
Publicado: (2025)

Bemba Speech Translation: Exploring a Low-Resource African Language
por: Farouq, Muhammad Hazim Al, et al.
Publicado: (2025)

Improved Contextual Recognition In Automatic Speech Recognition Systems By Semantic Lattice Rescoring
por: Sudarshan, Ankitha, et al.
Publicado: (2023)

Swedish Whispers; Leveraging a Massive Speech Corpus for Swedish Speech Recognition
por: Vesterbacka, Leonora, et al.
Publicado: (2025)

MixRep: Hidden Representation Mixup for Low-Resource Speech Recognition
por: Xie, Jiamin, et al.
Publicado: (2023)

Crab: Multi Layer Contrastive Supervision to Improve Speech Emotion Recognition Under Both Acted and Natural Speech Condition
por: Ueda, Lucas H., et al.
Publicado: (2026)

SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition
por: Hsu, Ming-Hao, et al.
Publicado: (2024)

Language Bias in Self-Supervised Learning For Automatic Speech Recognition
por: Storey, Edward, et al.
Publicado: (2025)

Very Low Complexity Speech Synthesis Using Framewise Autoregressive GAN (FARGAN) with Pitch Prediction
por: Valin, Jean-Marc, et al.
Publicado: (2024)

A Semi-spontaneous Dutch Speech Dataset for Speech Enhancement and Speech Recognition
por: de Groot, Dimme, et al.
Publicado: (2026)

In-Materia Speech Recognition
por: Zolfagharinejad, Mohamadreza, et al.
Publicado: (2024)

Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation
por: Chang, Yi, et al.
Publicado: (2024)

Methods to Increase the Amount of Data for Speech Recognition for Low Resource Languages
por: Ayrapetyan, Alexan, et al.
Publicado: (2025)

Weighted Cross-entropy for Low-Resource Languages in Multilingual Speech Recognition
por: Piñeiro-Martín, Andrés, et al.
Publicado: (2024)

Fairness of Automatic Speech Recognition in Cleft Lip and Palate Speech
por: Bhattacharjee, Susmita, et al.
Publicado: (2025)

Aligning Speech to Languages to Enhance Code-switching Speech Recognition
por: Liu, Hexin, et al.
Publicado: (2024)

Chunkwise Aligners for Streaming Speech Recognition
por: Teo, Wen Shen, et al.
Publicado: (2026)

Investigation of Deep Neural Network Acoustic Modelling Approaches for Low Resource Accented Mandarin Speech Recognition
por: Xie, Xurong, et al.
Publicado: (2022)

Speaker Attributed Automatic Speech Recognition Using Speech Aware LLMS
por: Aronowitz, Hagai, et al.
Publicado: (2026)

Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions
por: Imam, Sukairaj Hafiz, et al.
Publicado: (2025)

Exploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems
por: Cui, Mingyu, et al.
Publicado: (2025)

ASR Under the Stethoscope: Evaluating Biases in Clinical Speech Recognition across Indian Languages
por: Kumar, Subham, et al.
Publicado: (2025)

AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup
por: Carvalho, Carlos, et al.
Publicado: (2024)

Group Relative Policy Optimization for Speech Recognition
por: Shivakumar, Prashanth Gurunath, et al.
Publicado: (2025)

Streaming Speech-to-Confusion Network Speech Recognition
por: Filimonov, Denis, et al.
Publicado: (2023)

Robust Speech Recognition with Schrödinger Bridge-Based Speech Enhancement
por: Nasretdinov, Rauf, et al.
Publicado: (2025)

Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition
por: Yang, Zhengdong, et al.
Publicado: (2025)