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20162023
most citedIs Neuromorphic MNIST neuromorphic? Analyzing the discriminative power of neuromorphic datasets in the time domain

70 citations · 222 across the 40 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

eess.AS2019★ 5 cited

Acoustic Modeling for Automatic Lyrics-to-Audio Alignment

Chitralekha Gupta, Emre Yılmaz, Haizhou Li

Automatic lyrics to polyphonic audio alignment is a challenging task not only because the vocals are corrupted by background music, but also there is a lack of annotated polyphonic…

cs.CL2019★ 12 cited

VQVAE Unsupervised Unit Discovery and Multi-scale Code2Spec Inverter for Zerospeech Challenge 2019

Andros Tjandra, Berrak Sisman, Mingyang Zhang +3

We describe our submitted system for the ZeroSpeech Challenge 2019. The current challenge theme addresses the difficulty of constructing a speech synthesizer without any text or ph…

eess.AS2019★ 3 cited

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences

Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43

The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…

eess.AS2019★ 8 cited

Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet

Mingyang Zhang, Xin Wang, Fuming Fang +2

We investigated the training of a shared model for both text-to-speech (TTS) and voice conversion (VC) tasks. We propose using an extended model architecture of Tacotron, that is a…

eess.AS2019★ 1 cited

Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss

Chenglin Xu, Wei Rao, Eng Siong Chng +1

The SpeakerBeam-FE (SBF) method is proposed for speaker extraction. It attempts to overcome the problem of unknown number of speakers in an audio recording during source separation…

cs.NE2019★ 11 cited

Deep Spiking Neural Network with Spike Count based Learning Rule

Jibin Wu, Yansong Chua, Malu Zhang +3

Deep spiking neural networks (SNNs) support asynchronous event-driven computation, massive parallelism and demonstrate great potential to improve the energy efficiency of its synch…

eess.AS2019★ 5 cited

Target Speaker Extraction for Overlapped Multi-Talker Speaker Verification

Wei Rao, Chenglin Xu, Eng Siong Chng +1

The performance of speaker verification degrades significantly when the test speech is corrupted by interference speakers. Speaker diarization does well to separate speakers if the…

eess.AS2019★ 6 cited

A Vocoder-free WaveNet Voice Conversion with Non-Parallel Data

Xiaohai Tian, Eng Siong Chng, Haizhou Li

In a typical voice conversion system, vocoder is commonly used for speech-to-features analysis and features-to-speech synthesis. However, vocoder can be a source of speech quality…