🏛️ The Audio & Speech Crypt
eess.AS: Where Audio & Speech papers rest without their code.
1407
Total Papers
1131
No Code
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Twilight
252
Has Code
17.9%
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Measuring Mother-Infant Emotions By Audio Sensing
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Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting
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Temporal Feedback Convolutional Recurrent Neural Networks for Speech Command Recognition
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Bayesian Strategies for Likelihood Ratio Computation in Forensic Voice Comparison with Automatic Systems
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Semi-supervised and Population Based Training for Voice Commands Recognition
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Effect of choice of probability distribution, randomness, and search methods for alignment modeling in sequence-to-sequence text-to-speech synthesis using hard alignment
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Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations
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BUT VOiCES 2019 System Description
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Telephonetic: Making Neural Language Models Robust to ASR and Semantic Noise
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Spoof detection using time-delay shallow neural network and feature switching
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Synchronizing Audio-Visual Film Stimuli in Unity (version 5.5.1f1): Game Engines as a Tool for Research
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DCASE 2018 Challenge: Solution for Task 5
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A Comparison of Adaptation Techniques and Recurrent Neural Network Architectures
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Automatic Organisation and Quality Analysis of User-Generated Content with Audio Fingerprinting
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Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition
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A Closer Look at Neural Codec Resynthesis: Bridging the Gap between Codec and Waveform Generation
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Speech privacy-preserving methods using secret key for convolutional neural network models and their robustness evaluation
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Transfer Learning in Vocal Education: Technical Evaluation of Limited Samples Describing Mezzo-soprano
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Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
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Digit Recognition using Multimodal Spiking Neural Networks
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MINT: a Multi-modal Image and Narrative Text Dubbing Dataset for Foley Audio Content Planning and Generation
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InaGVAD : a Challenging French TV and Radio Corpus Annotated for Speech Activity Detection and Speaker Gender Segmentation
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