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20172026
most citedCompressing Recurrent Neural Network with Tensor Train

111 citations · 391 across the 44 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CV2019

Using Panoramic Videos for Multi-person Localization and Tracking in a 3D Panoramic Coordinate

Fan Yang, Feiran Li, Yang Wu +2

3D panoramic multi-person localization and tracking are prominent in many applications, however, conventional methods using LiDAR equipment could be economically expensive and also…

cs.CL2019★ 3 cited

Speech-to-speech Translation between Untranscribed Unknown Languages

Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

In this paper, we explore a method for training speech-to-speech translation tasks without any transcription or linguistic supervision. Our proposed method consists of two steps: F…

cs.CV2019★ 29 cited

Make Skeleton-based Action Recognition Model Smaller, Faster and Better

Fan Yang, Sakriani Sakti, Yang Wu +1

Although skeleton-based action recognition has achieved great success in recent years, most of the existing methods may suffer from a large model size and slow execution speed. To…

cs.CL2019

Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain

Johanes Effendi, Andros Tjandra, Sakriani Sakti +1

Previously, a machine speech chain, which is based on sequence-to-sequence deep learning, was proposed to mimic speech perception and production behavior. Such chains separately pr…

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…

cs.CL2019

The Zero Resource Speech Challenge 2019: TTS without T

Ewan Dunbar, Robin Algayres, Julien Karadayi +10

We present the Zero Resource Speech Challenge 2019, which proposes to build a speech synthesizer without any text or phonetic labels: hence, TTS without T (text-to-speech without t…