Improving Acoustic Word Embeddings through Correspondence Training of Self-supervised Speech Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Meghanani, Amit, Hain, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations
by: Meghanani, Amit, et al.
Published: (2024)
by: Meghanani, Amit, et al.
Published: (2024)
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks
by: Meghanani, Amit, et al.
Published: (2024)
by: Meghanani, Amit, et al.
Published: (2024)
Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations
by: Meghanani, Amit, et al.
Published: (2026)
by: Meghanani, Amit, et al.
Published: (2026)
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text
by: Park, Chanho, et al.
Published: (2023)
by: Park, Chanho, et al.
Published: (2023)
Automatic Speech Recognition System-Independent Word Error Rate Estimation
by: Park, Chanho, et al.
Published: (2024)
by: Park, Chanho, et al.
Published: (2024)
Layer-Wise Analysis of Self-Supervised Acoustic Word Embeddings: A Study on Speech Emotion Recognition
by: Saliba, Alexandra, et al.
Published: (2024)
by: Saliba, Alexandra, et al.
Published: (2024)
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis
by: Do, Cong-Thanh, et al.
Published: (2024)
by: Do, Cong-Thanh, et al.
Published: (2024)
Enhancing Few-shot Keyword Spotting Performance through Pre-Trained Self-supervised Speech Models
by: Gok, Alican, et al.
Published: (2025)
by: Gok, Alican, et al.
Published: (2025)
Self-supervised Speech Representations Still Struggle with African American Vernacular English
by: Chang, Kalvin, et al.
Published: (2024)
by: Chang, Kalvin, et al.
Published: (2024)
SSHR: Leveraging Self-supervised Hierarchical Representations for Multilingual Automatic Speech Recognition
by: Xue, Hongfei, et al.
Published: (2023)
by: Xue, Hongfei, et al.
Published: (2023)
Self-supervised Speech Models for Word-Level Stuttered Speech Detection
by: Shih, Yi-Jen, et al.
Published: (2024)
by: Shih, Yi-Jen, et al.
Published: (2024)
Revisiting Self-supervised Learning of Speech Representation from a Mutual Information Perspective
by: Liu, Alexander H., et al.
Published: (2024)
by: Liu, Alexander H., et al.
Published: (2024)
Multilingual Zero Resource Speech Recognition Base on Self-Supervise Pre-Trained Acoustic Models
by: Wang, Haoyu, et al.
Published: (2022)
by: Wang, Haoyu, et al.
Published: (2022)
Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation
by: Hwang, Min-Jae, et al.
Published: (2024)
by: Hwang, Min-Jae, et al.
Published: (2024)
Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models
by: Fan, Ruchao, et al.
Published: (2024)
by: Fan, Ruchao, et al.
Published: (2024)
Implicit Self-supervised Language Representation for Spoken Language Diarization
by: Mishra, Jagabandhu, et al.
Published: (2023)
by: Mishra, Jagabandhu, et al.
Published: (2023)
Sylber: Syllabic Embedding Representation of Speech from Raw Audio
by: Cho, Cheol Jun, et al.
Published: (2024)
by: Cho, Cheol Jun, et al.
Published: (2024)
A Theoretical Framework for Acoustic Neighbor Embeddings
by: Jeon, Woojay
Published: (2024)
by: Jeon, Woojay
Published: (2024)
Salmon: A Suite for Acoustic Language Model Evaluation
by: Maimon, Gallil, et al.
Published: (2024)
by: Maimon, Gallil, et al.
Published: (2024)
Do Discrete Self-Supervised Representations of Speech Capture Tone Distinctions?
by: Osakuade, Opeyemi, et al.
Published: (2024)
by: Osakuade, Opeyemi, et al.
Published: (2024)
SpeechCLIP+: Self-supervised multi-task representation learning for speech via CLIP and speech-image data
by: Wang, Hsuan-Fu, et al.
Published: (2024)
by: Wang, Hsuan-Fu, et al.
Published: (2024)
Speech is More Than Words: Do Speech-to-Text Translation Systems Leverage Prosody?
by: Tsiamas, Ioannis, et al.
Published: (2024)
by: Tsiamas, Ioannis, et al.
Published: (2024)
Word Level Timestamp Generation for Automatic Speech Recognition and Translation
by: Hu, Ke, et al.
Published: (2025)
by: Hu, Ke, et al.
Published: (2025)
The Voice Behind the Words: Quantifying Intersectional Bias in SpeechLLMs
by: Satish, Shree Harsha Bokkahalli, et al.
Published: (2026)
by: Satish, Shree Harsha Bokkahalli, et al.
Published: (2026)
Universal Acoustic Adversarial Attacks for Flexible Control of Speech-LLMs
by: Ma, Rao, et al.
Published: (2025)
by: Ma, Rao, et al.
Published: (2025)
Improving Practical Aspects of End-to-End Multi-Talker Speech Recognition for Online and Offline Scenarios
by: Subramanian, Aswin Shanmugam, et al.
Published: (2025)
by: Subramanian, Aswin Shanmugam, et al.
Published: (2025)
AV2Wav: Diffusion-Based Re-synthesis from Continuous Self-supervised Features for Audio-Visual Speech Enhancement
by: Chou, Ju-Chieh, et al.
Published: (2023)
by: Chou, Ju-Chieh, et al.
Published: (2023)
Probing for Phonology in Self-Supervised Speech Representations: A Case Study on Accent Perception
by: Venkateswaran, Nitin, et al.
Published: (2025)
by: Venkateswaran, Nitin, et al.
Published: (2025)
Adapting Self-Supervised Speech Representations for Cross-lingual Dysarthria Detection in Parkinson's Disease
by: Hernandez, Abner, et al.
Published: (2026)
by: Hernandez, Abner, et al.
Published: (2026)
VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMs
by: Zhang, Hezhao, et al.
Published: (2026)
by: Zhang, Hezhao, et al.
Published: (2026)
Disentangling Textual and Acoustic Features of Neural Speech Representations
by: Mohebbi, Hosein, et al.
Published: (2024)
by: Mohebbi, Hosein, et al.
Published: (2024)
Solla: Towards a Speech-Oriented LLM That Hears Acoustic Context
by: Ao, Junyi, et al.
Published: (2025)
by: Ao, Junyi, et al.
Published: (2025)
Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs
by: Futami, Hayato, et al.
Published: (2025)
by: Futami, Hayato, et al.
Published: (2025)
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models
by: Raina, Vyas, et al.
Published: (2024)
by: Raina, Vyas, et al.
Published: (2024)
Controlling Whisper: Universal Acoustic Adversarial Attacks to Control Speech Foundation Models
by: Raina, Vyas, et al.
Published: (2024)
by: Raina, Vyas, et al.
Published: (2024)
Hallucination in Perceptual Metric-Driven Speech Enhancement Networks
by: Close, George, et al.
Published: (2024)
by: Close, George, et al.
Published: (2024)
Enhancing Large Language Model-based Speech Recognition by Contextualization for Rare and Ambiguous Words
by: Nozawa, Kento, et al.
Published: (2024)
by: Nozawa, Kento, et al.
Published: (2024)
Leveraging LLM and Self-Supervised Training Models for Speech Recognition in Chinese Dialects: A Comparative Analysis
by: Xu, Tianyi, et al.
Published: (2025)
by: Xu, Tianyi, et al.
Published: (2025)
Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition
by: Shu, Yuchun, et al.
Published: (2024)
by: Shu, Yuchun, et al.
Published: (2024)
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
by: Parcollet, Titouan, et al.
Published: (2023)
by: Parcollet, Titouan, et al.
Published: (2023)
Similar Items
-
SCORE: Self-supervised Correspondence Fine-tuning for Improved Content Representations
by: Meghanani, Amit, et al.
Published: (2024) -
LASER: Learning by Aligning Self-supervised Representations of Speech for Improving Content-related Tasks
by: Meghanani, Amit, et al.
Published: (2024) -
Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations
by: Meghanani, Amit, et al.
Published: (2026) -
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text
by: Park, Chanho, et al.
Published: (2023) -
Automatic Speech Recognition System-Independent Word Error Rate Estimation
by: Park, Chanho, et al.
Published: (2024)