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Found 8 papers, 2 papers with code
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition
Speech super-resolution/Bandwidth Extension (BWE) can improve downstream tasks like Automatic Speaker Verification (ASV).
Time-domain speech super-resolution with GAN based modeling for telephony speaker verification
We show that our bandwidth extension leads to phenomena such as a shift of telephone (test) embeddings towards wideband (train) signals, a negative correlation of perceptual quality with downstream performance, and condition-independent score calibration.
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification
Then, we propose a two-stage learning solution where we use a pre-trained domain adaptation system for pre-processing in bandwidth extension training.
Deep Feature CycleGANs: Speaker Identity Preserving Non-parallel Microphone-Telephone Domain Adaptation for Speaker Verification
We investigate it for adapt microphone speech to the telephone domain.
Unsupervised Acoustic Unit Discovery by Leveraging a Language-Independent Subword Discriminative Feature Representation
In the first stage, a recently proposed method in the task of unsupervised subword modeling is improved by replacing a monolingual out-of-domain (OOD) ASR system with a multilingual one to create a subword-discriminative representation that is more language-independent.
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems
Such attacks pose severe security risks, making it vital to deep-dive and understand how much the state-of-the-art SR systems are vulnerable to these attacks.
How Phonotactics Affect Multilingual and Zero-shot ASR Performance
Furthermore, we find that a multilingual LM hurts a multilingual ASR system's performance, and retaining only the target language's phonotactic data in LM training is preferable.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages
Only a handful of the world's languages are abundant with the resources that enable practical applications of speech processing technologies.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
