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Found 8 papers, 2 papers with code
Speaker Selective Beamformer with Keyword Mask Estimation
The proposed method firstly utilizes a DNN-based mask estimator to separate the mixture signal into the keyword signal uttered by the target speaker and the remaining background speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions
This report investigates the ability of E2E ASR from standard close-talk to far-field applications by encompassing entire multichannel speech enhancement and ASR components within the S2S model.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Training Robust Zero-Shot Voice Conversion Models with Self-supervised Features
Unsupervised Zero-Shot Voice Conversion (VC) aims to modify the speaker characteristic of an utterance to match an unseen target speaker without relying on parallel training data.
Augmented Contrastive Self-Supervised Learning for Audio Invariant Representations
Improving generalization is a major challenge in audio classification due to labeled data scarcity.
Corrupting Data to Remove Deceptive Perturbation: Using Preprocessing Method to Improve System Robustness
Although deep neural networks have achieved great performance on classification tasks, recent studies showed that well trained networks can be fooled by adding subtle noises.
Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Diffusion models power a vast majority of text-to-audio (TTA) generation methods.
Ranked #10 on
Audio Generation
on AudioCaps
Learned Image Compression with Text Quality Enhancement
Learned image compression has gained widespread popularity for their efficiency in achieving ultra-low bit-rates.
uaMix-MAE: Efficient Tuning of Pretrained Audio Transformers with Unsupervised Audio Mixtures
Masked Autoencoders (MAEs) learn rich low-level representations from unlabeled data but require substantial labeled data to effectively adapt to downstream tasks.
