Image de couverture de livre

Self-consistent context aware conformer transducer for speech recognition

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kolokolov, Konstantin, Pekichev, Pavel, Raghunathan, Karthik
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Sound Audio and Speech Processing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PROCTER: PROnunciation-aware ConTextual adaptER for personalized speech recognition in neural transducers
par: Pandey, Rahul, et autres
Publié: (2023)

Improving child speech recognition with augmented child-like speech
par: Zhang, Yuanyuan, et autres
Publié: (2024)

An efficient text augmentation approach for contextualized Mandarin speech recognition
par: Zheng, Naijun, et autres
Publié: (2024)

Advancing LLM-based phoneme-to-grapheme for multilingual speech recognition
par: Dong, Lukuang, et autres
Publié: (2026)

LLM-based phoneme-to-grapheme for phoneme-based speech recognition
par: Ma, Te, et autres
Publié: (2025)

Convoifilter: A case study of doing cocktail party speech recognition
par: Nguyen, Thai-Binh, et autres
Publié: (2023)

Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
par: Araiza-Illan, Gloria, et autres
Publié: (2023)

Can Whisper perform speech-based in-context learning?
par: Wang, Siyin, et autres
Publié: (2023)

Introduction to speech recognition
par: Dauphin, Gabriel
Publié: (2024)

Exploring the limits of decoder-only models trained on public speech recognition corpora
par: Gupta, Ankit, et autres
Publié: (2024)

asr_eval: Algorithms and tools for multi-reference and streaming speech recognition evaluation
par: Sedukhin, Oleg, et autres
Publié: (2026)

Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNet
par: Dhakal, Manish, et autres
Publié: (2024)

High-precision medical speech recognition through synthetic data and semantic correction: UNITED-MEDASR
par: Banerjee, Sourav, et autres
Publié: (2024)

Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
par: Wright, George August, et autres
Publié: (2023)

SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
par: Wang, Hsuan-Fu, et autres
Publié: (2024)

Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition
par: Ishida, Shoma, et autres
Publié: (2020)

A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
par: Liu, Oli Danyi, et autres
Publié: (2024)

emg2speech: Synthesizing speech from electromyography using self-supervised speech models
par: Gowda, Harshavardhana T., et autres
Publié: (2025)

Translating speech with just images
par: Oneata, Dan, et autres
Publié: (2024)

Can large audio language models understand child stuttering speech? speech summarization, and source separation
par: Okocha, Chibuzor, et autres
Publié: (2025)

XCB: an effective contextual biasing approach to bias cross-lingual phrases in speech recognition
par: Wan, Xucheng, et autres
Publié: (2024)

Low-resource speech recognition and dialect identification of Irish in a multi-task framework
par: Lonergan, Liam, et autres
Publié: (2024)

Semantic enrichment towards efficient speech representations
par: Laperrière, Gaëlle, et autres
Publié: (2023)

Revisiting speech segmentation and lexicon learning with better features
par: Kamper, Herman, et autres
Publié: (2024)

Prominence-aware automatic speech recognition for conversational speech
par: Linke, Julian, et autres
Publié: (2025)

Direct Punjabi to English speech translation using discrete units
par: Kaur, Prabhjot, et autres
Publié: (2024)

Transferable speech-to-text large language model alignment module
par: Wu, Boyong, et autres
Publié: (2024)

Natural language guidance of high-fidelity text-to-speech with synthetic annotations
par: Lyth, Dan, et autres
Publié: (2024)

Beyond the binary: Limitations and possibilities of gender-related speech technology research
par: Sanchez, Ariadna, et autres
Publié: (2024)

Transferring speech-generic and depression-specific knowledge for Alzheimer's disease detection
par: Cui, Ziyun, et autres
Publié: (2023)

An experiment on an automated literature survey of data-driven speech enhancement methods
par: Santos, Arthur dos, et autres
Publié: (2023)

ZIPA: A family of efficient models for multilingual phone recognition
par: Zhu, Jian, et autres
Publié: (2025)

Data-driven grapheme-to-phoneme representations for a lexicon-free text-to-speech
par: Garg, Abhinav, et autres
Publié: (2024)

Unsupervised lexicon learning from speech is limited by representations rather than clustering
par: Slabbert, Danel, et autres
Publié: (2025)

AfriHuBERT: A self-supervised speech representation model for African languages
par: Alabi, Jesujoba O., et autres
Publié: (2024)

Korean aegyo speech shows systematic F1 increase to signal childlike qualities
par: Kim, Ji-eun, et autres
Publié: (2026)

Neighbors and relatives: How do speech embeddings reflect linguistic connections across the world?
par: Törö, Tuukka, et autres
Publié: (2025)

Can we reconstruct a dysarthric voice with the large speech model Parler TTS?
par: Sanchez, Ariadna, et autres
Publié: (2025)

Robust fine-tuning of speech recognition models via model merging: application to disordered speech
par: Ducorroy, Alexandre, et autres
Publié: (2025)

The Greek podcast corpus: Competitive speech models for low-resourced languages with weakly supervised data
par: Paraskevopoulos, Georgios, et autres
Publié: (2024)