Cover Image

Automatic Speech Recognition of African American English: Lexical and Contextual Effects

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mojarad, Hamid, Tang, Kevin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Sound Audio and Speech Processing I.5; G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contextualized Automatic Speech Recognition with Dynamic Vocabulary
by: Sudo, Yui, et al.
Published: (2024)

Automatic Speech Recognition Biases in Newcastle English: an Error Analysis
by: Serditova, Dana, et al.
Published: (2025)

Connected Speech-Based Cognitive Assessment in Chinese and English
by: Luz, Saturnino, et al.
Published: (2024)

Measuring the Accuracy of Automatic Speech Recognition Solutions
by: Kuhn, Korbinian, et al.
Published: (2024)

Benchmarking Automatic Speech Recognition Models for African Languages
by: Nahabwe, Alvin, et al.
Published: (2025)

Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation
by: Lin, Zhennan, et al.
Published: (2025)

Automatic Speech Recognition (ASR) for the Diagnosis of pronunciation of Speech Sound Disorders in Korean children
by: Ahn, Taekyung, et al.
Published: (2024)

On the Contribution of Lexical Features to Speech Emotion Recognition
by: Combei, David
Published: (2025)

Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss
by: Shakeel, Muhammad, et al.
Published: (2024)

Enhancing Speech Emotion Recognition Leveraging Aligning Timestamps of ASR Transcripts and Speaker Diarization
by: Wang, Hsuan-Yu, et al.
Published: (2025)

EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech
by: Gómez-Zaragozá, Lucía, et al.
Published: (2024)

Automatic Speech Recognition for Non-Native English: Accuracy and Disfluency Handling
by: McGuire, Michael
Published: (2025)

OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary
by: Sudo, Yui, et al.
Published: (2025)

Less Stress, More Privacy: Stress Detection on Anonymized Speech of Air Traffic Controllers
by: Viswanathan, Janaki, et al.
Published: (2025)

Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search
by: Sudo, Yui, et al.
Published: (2024)

Self-supervised Speech Representations Still Struggle with African American Vernacular English
by: Chang, Kalvin, et al.
Published: (2024)

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

Energy-based features and bi-LSTM neural network for EEG-based music and voice classification
by: Ariza, Isaac, et al.
Published: (2024)

Automatic Speech Recognition for Hindi
by: Saha, Anish, et al.
Published: (2024)

Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition
by: Wang, Yujin, et al.
Published: (2022)

Open Automatic Speech Recognition Models for Classical and Modern Standard Arabic
by: Grigoryan, Lilit, et al.
Published: (2025)

Dynamic Data Pruning for Automatic Speech Recognition
by: Xiao, Qiao, et al.
Published: (2024)

Thaka at KSAA-2026 Task 2: Regularized Fine-Tuning for Arabic Speech Diacritization
by: Alamr, Meshal, et al.
Published: (2026)

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

Joint Automatic Speech Recognition And Structure Learning For Better Speech Understanding
by: Hu, Jiliang, et al.
Published: (2025)

Exploring Gender Disparities in Automatic Speech Recognition Technology
by: ElGhazaly, Hend, et al.
Published: (2025)

Exploration of Adapter for Noise Robust Automatic Speech Recognition
by: Shi, Hao, et al.
Published: (2024)

Automatic Speech Recognition for Biomedical Data in Bengali Language
by: Kabir, Shariar, et al.
Published: (2024)

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition
by: Sudo, Yui, et al.
Published: (2025)

ContextASR-Bench: A Massive Contextual Speech Recognition Benchmark
by: Wang, He, et al.
Published: (2025)

Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs
by: Zhang, Enshi, et al.
Published: (2024)

Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition
by: Hori, Takaaki, et al.
Published: (2025)

Supporting SENCOTEN Language Documentation Efforts with Automatic Speech Recognition
by: Geng, Mengzhe, et al.
Published: (2025)

Pitch Accent Detection improves Pretrained Automatic Speech Recognition
by: Sasu, David, et al.
Published: (2025)

Word Level Timestamp Generation for Automatic Speech Recognition and Translation
by: Hu, Ke, et al.
Published: (2025)

Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
by: Park, ChaeHun, et al.
Published: (2024)

Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition
by: Iakovenko, Olga, et al.
Published: (2024)

Transliterated Zero-Shot Domain Adaptation for Automatic Speech Recognition
by: Zhu, Han, et al.
Published: (2024)

UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction
by: Guo, Jiaxin, et al.
Published: (2024)

Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities
by: Adila, Aulia, et al.
Published: (2024)