activity
20192022
collaborators

5 papers

eess.AS2022

Joint Speech Recognition and Audio Captioning

Chaitanya Narisetty, Emiru Tsunoo, Xuankai Chang +3

Speech samples recorded in both indoor and outdoor environments are often contaminated with secondary audio sources. Most end-to-end monaural speech recognition systems either remo…

eess.AS2022

Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR

Emiru Tsunoo, Chaitanya Narisetty, Michael Hentschel +2

A streaming style inference of encoder-decoder automatic speech recognition (ASR) system is important for reducing latency, which is essential for interactive use cases. To this en…

eess.AS2021

Data Augmentation Methods for End-to-end Speech Recognition on Distant-Talk Scenarios

Emiru Tsunoo, Kentaro Shibata, Chaitanya Narisetty +2

Although end-to-end automatic speech recognition (E2E ASR) has achieved great performance in tasks that have numerous paired data, it is still challenging to make E2E ASR robust ag…

cs.SD2019

Bayesian Non-Parametric Multi-Source Modelling Based Determined Blind Source Separation

Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo

This paper proposes a determined blind source separation method using Bayesian non-parametric modelling of sources. Conventionally source signals are separated from a given set of…

eess.AS2019

Modelling of Sound Events with Hidden Imbalances Based on Clustering and Separate Sub-Dictionary Learning

Chaitanya Narisetty, Tatsuya Komatsu, Reishi Kondo

This paper proposes an effective modelling of sound event spectra with a hidden data-size-imbalance, for improved Acoustic Event Detection (AED). The proposed method models each ev…