no code implementations • 1 Dec 2015 • Amrita Saha, Sathish Indurthi, Shantanu Godbole, Subendhu Rongali, Vikas C. Raykar
We describe the problem of aggregating the label predictions of diverse classifiers using a class taxonomy.
no code implementations • 11 Nov 2019 • Sathish Indurthi, Houjeung Han, Nikhil Kumar Lakumarapu, Beomseok Lee, Insoo Chung, Sangha Kim, Chanwoo Kim
In the meta-learning phase, the parameters of the model are exposed to vast amounts of speech transcripts (e. g., English ASR) and text translations (e. g., English-German MT).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +6
no code implementations • 29 Dec 2020 • Hyojung Han, Sathish Indurthi, Mohd Abbas Zaidi, Nikhil Kumar Lakumarapu, Beomseok Lee, Sangha Kim, Chanwoo Kim, Inchul Hwang
The current re-translation approaches are based on autoregressive sequence generation models (ReTA), which generate tar-get tokens in the (partial) translation sequentially.
no code implementations • ICASSP 2021 • Sathish Indurthi, Mohd Abbas Zaidi, Nikhil Kumar Lakumarapu, Beomseok Lee, Hyojung Han, Seokchan Ahn, Sangha Kim, Chanwoo Kim, Inchul Hwang
In general, the direct Speech-to-text translation (ST) is jointly trained with Automatic Speech Recognition (ASR), and Machine Translation (MT) tasks.
Ranked #1 on Speech-to-Text Translation on MuST-C EN->DE (using extra training data)
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
1 code implementation • 7 Sep 2021 • Mohd Abbas Zaidi, Sathish Indurthi, Beomseok Lee, Nikhil Kumar Lakumarapu, Sangha Kim
Simultaneous neural machine translation(SNMT) models start emitting the target sequence before they have processed the source sequence.