788 citations · 1.4k across the 24 of their papers we have counts for
7 papers · 1 filter
Focus on the present: a regularization method for the ASR source-target attention layer
Nanxin Chen, Piotr Żelasko, Jesús Villalba +1
This paper introduces a novel method to diagnose the source-target attention in state-of-the-art end-to-end speech recognition models with joint connectionist temporal classificati…
WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen, Yu Zhang, Heiga Zen +3
This paper introduces WaveGrad, a conditional model for waveform generation which estimates gradients of the data density. The model is built on prior work on score matching and di…
End-to-end spoofing detection with raw waveform CLDNNs
Heinrich Dinkel, Nanxin Chen, Yanmin Qian +1
Albeit recent progress in speaker verification generates powerful models, malicious attacks in the form of spoofed speech, are generally not coped with. Recent results in ASVSpoof2…
Robust Training of Vector Quantized Bottleneck Models
Adrian Łańcucki, Jan Chorowski, Guillaume Sanchez +6
In this paper we demonstrate methods for reliable and efficient training of discrete representation using Vector-Quantized Variational Auto-Encoder models (VQ-VAEs). Discrete laten…
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
Yosuke Higuchi, Shinji Watanabe, Nanxin Chen +2
We present Mask CTC, a novel non-autoregressive end-to-end automatic speech recognition (ASR) framework, which generates a sequence by refining outputs of the connectionist tempora…
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
Raghavendra Pappagari, Tianzi Wang, Jesus Villalba +2
In this work, we explore the dependencies between speaker recognition and emotion recognition. We first show that knowledge learned for speaker recognition can be reused for emotio…
Improving Language Identification for Multilingual Speakers
Andrew Titus, Jan Silovsky, Nanxin Chen +3
Spoken language identification (LID) technologies have improved in recent years from discriminating largely distinct languages to discriminating highly similar languages or even di…