speech and signal processing
The iNaturalist Sounds Dataset
A current gap in the acoustic space is a large-scale, fine-grained dataset of species sounds that is easy to download and easy to use.
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A Appendix A531A.1 Detailed explanation of continuous nature of similarity
In this section, we expand on our observation that similarity between training samples is not binary. Consider the images shown in Figure 6. As a consequence, any similarity between the anchor image and the so-called'negative' examples is completely ignored. Further, all'positive' examples are considered to be The batch size is set to 16000. We train on 4 A100 GPUs.
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SSDM: Scalable Speech Dysfluency Modeling
However, there are three challenges.
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SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized by generative AI models.
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Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation
In speech separation, time-domain approaches have successfully replaced the time-frequency domain with latent sequence feature from a learnable encoder.
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