activity
20172022
most citedCompressing Recurrent Neural Network with Tensor Train

111 citations · 209 across the 15 of their papers we have counts for

collaborators

22 papers

cs.CL20221 cited

Massively Multilingual ASR on 70 Languages: Tokenization, Architecture, and Generalization Capabilities

Andros Tjandra, Nayan Singhal, David Zhang +4

End-to-end multilingual ASR has become more appealing because of several reasons such as simplifying the training and deployment process and positive performance transfer from high…

eess.AS202111 cited

Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings

Jialu Li, Vimal Manohar, Pooja Chitkara +5

Speech recognition models often obtain degraded performance when tested on speech with unseen accents. Domain-adversarial training (DAT) and multi-task learning (MTL) are two commo…

cs.CL20212 cited

Improved Language Identification Through Cross-Lingual Self-Supervised Learning

Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang +6

Language identification greatly impacts the success of downstream tasks such as automatic speech recognition. Recently, self-supervised speech representations learned by wav2vec 2.…

cs.CL202011 cited

Cross-Lingual Machine Speech Chain for Javanese, Sundanese, Balinese, and Bataks Speech Recognition and Synthesis

Sashi Novitasari, Andros Tjandra, Sakriani Sakti +1

Even though over seven hundred ethnic languages are spoken in Indonesia, the available technology remains limited that could support communication within indigenous communities as…

cs.CL2020

Sequence-to-Sequence Learning via Attention Transfer for Incremental Speech Recognition

Sashi Novitasari, Andros Tjandra, Sakriani Sakti +1

Attention-based sequence-to-sequence automatic speech recognition (ASR) requires a significant delay to recognize long utterances because the output is generated after receiving en…

cs.CL20201 cited

Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time

Sashi Novitasari, Andros Tjandra, Tomoya Yanagita +2

Inspired by a human speech chain mechanism, a machine speech chain framework based on deep learning was recently proposed for the semi-supervised development of automatic speech re…