activity
20182024
most citedSUPERB: Speech processing Universal PERformance Benchmark

53 citations · 175 across the 22 of their papers we have counts for

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Showing eess.ASShow all

5 papers · 1 filter

eess.AS2024★ 1 cited

A Large-Scale Evaluation of Speech Foundation Models

Shu-wen Yang, Heng-Jui Chang, Zili Huang +18

The foundation model paradigm leverages a shared foundation model to achieve state-of-the-art (SOTA) performance for various tasks, requiring minimal downstream-specific modeling a…

eess.AS2020★ 3 cited

Improved Prosody from Learned F0 Codebook Representations for VQ-VAE Speech Waveform Reconstruction

Yi Zhao, Haoyu Li, Cheng-I Lai +3

Vector Quantized Variational AutoEncoders (VQ-VAE) are a powerful representation learning framework that can discover discrete groups of features from a speech signal without super…

eess.AS2020★ 3 cited

Can Speaker Augmentation Improve Multi-Speaker End-to-End TTS?

Erica Cooper, Cheng-I Lai, Yusuke Yasuda +1

Previous work on speaker adaptation for end-to-end speech synthesis still falls short in speaker similarity. We investigate an orthogonal approach to the current speaker adaptation…

eess.AS2019★ 9 cited

Zero-Shot Multi-Speaker Text-To-Speech with State-of-the-art Neural Speaker Embeddings

Erica Cooper, Cheng-I Lai, Yusuke Yasuda +4

While speaker adaptation for end-to-end speech synthesis using speaker embeddings can produce good speaker similarity for speakers seen during training, there remains a gap for zer…

eess.AS2018★ 4 cited

Attentive Filtering Networks for Audio Replay Attack Detection

Cheng-I Lai, Alberto Abad, Korin Richmond +3

An attacker may use a variety of techniques to fool an automatic speaker verification system into accepting them as a genuine user. Anti-spoofing methods meanwhile aim to make the…