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🏛️ The Audio & Speech Crypt
eess.AS: Where Audio & Speech papers rest without their code.
1407
Total Papers
1131
No Code
24
Twilight
252
Has Code
17.9%
Survival Rate
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Two-Staged Acoustic Modeling Adaption for Robust Speech Recognition by the Example of German Oral History Interviews
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Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition
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Attention model for articulatory features detection
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Practical Speech Recognition with HTK
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Multi-scale aggregation of phase information for reducing computational cost of CNN based DOA estimation
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Learning acoustic word embeddings with phonetically associated triplet network
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Pansori: ASR Corpus Generation from Open Online Video Contents
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A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition
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Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selection
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Large-scale Speaker Retrieval on Random Speaker Variability Subspace
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SoundSignaling: Realtime, Stylistic Modification of a Personal Music Corpus for Information Delivery
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DC-Spin: A Speaker-invariant Speech Tokenizer for Spoken Language Models
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End-to-End Transformer-based Automatic Speech Recognition for Northern Kurdish: A Pioneering Approach
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Exploring ASR-Based Wav2Vec2 for Automated Speech Disorder Assessment: Insights and Analysis
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Comparative Analysis of Modality Fusion Approaches for Audio-Visual Person Identification and Verification
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BLSTM-Based Confidence Estimation for End-to-End Speech Recognition
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Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices
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Preserving Phonemic Distinctions for Ordinal Regression: A Novel Loss Function for Automatic Pronunciation Assessment
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Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models
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Improving Speech Recognition for African American English With Audio Classification
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Self-refining of Pseudo Labels for Music Source Separation with Noisy Labeled Data
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Eternal Rest
Ontology-aware Learning and Evaluation for Audio Tagging
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