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Found 5 papers, 4 papers with code
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question Answering
In this work, we introduce an interpretable approach for graph-based VQA and demonstrate competitive performance on the GQA dataset.
Controllable Generation of Artificial Speaker Embeddings through Discovery of Principal Directions
Customizing voice and speaking style in a speech synthesis system with intuitive and fine-grained controls is challenging, given that little data with appropriate labels is available.
Anonymizing Speech with Generative Adversarial Networks to Preserve Speaker Privacy
In order to protect the privacy of speech data, speaker anonymization aims for hiding the identity of a speaker by changing the voice in speech recordings.
Speaker Anonymization with Phonetic Intermediate Representations
In this work, we propose a speaker anonymization pipeline that leverages high quality automatic speech recognition and synthesis systems to generate speech conditioned on phonetic transcriptions and anonymized speaker embeddings.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Beyond Accuracy: A Consolidated Tool for Visual Question Answering Benchmarking
On the way towards general Visual Question Answering (VQA) systems that are able to answer arbitrary questions, the need arises for evaluation beyond single-metric leaderboards for specific datasets.
