Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Exploration of Adapter for Noise Robust Automatic Speech Recognition
Cover Image

Exploration of Adapter for Noise Robust Automatic Speech Recognition

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Shi, Hao, Kawahara, Tatsuya
Format: Preprint
Published: 2024
Subjects:
Sound
Computation and Language
Audio and Speech Processing
Online Access:
Acceder al recurso
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://arxiv.org/abs/2402.18275

Similar Items

  • Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction
    by: Ko, Yuka, et al.
    Published: (2024)
  • Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition
    by: Shi, Hao, et al.
    Published: (2024)
  • Efficient and Robust Long-Form Speech Recognition with Hybrid H3-Conformer
    by: Honda, Tomoki, et al.
    Published: (2024)
  • A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognition
    by: Shi, Xiaohan, et al.
    Published: (2023)
  • Two-stage Framework for Robust Speech Emotion Recognition Using Target Speaker Extraction in Human Speech Noise Conditions
    by: Mi, Jinyi, et al.
    Published: (2024)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar