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Jasha Droppo on Muck Rack

Jasha Droppo

As seen in: Amazon Science
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Articles

Do you listen with one or two microphones? A unified ASR model for single and multi-channel audio

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By Minhua Wu, Brian King, Harish Mallidi, Jasha Droppo
| Amazon Science
Automatic speech recognition (ASR) models are typically designed to operate on a single input data type, e.g. a single or multi-channel audio streamed from a device. This design decision assumes the primary input data source does not change and if an additional (auxiliary) data source is occasionally available, it cannot be used.
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Federated representation learning for automatic speech recognition

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By Milind Rao, Anit Kumar Sahu, Ariya Rastrow, Jasha Droppo
| Amazon Science
Federated Learning (FL) offers a privacy-preserving approach to model training, allowing edge devices to learn collaboratively without sharing data. Edge devices like Alexa and Siri are prospective sources of unlabeled audio data that can be tapped to learn robust audio representations. In this work, we bring Self-supervised Learning (SSL) and FL together to learn representations for Automatic Speech Recognition respecting data privacy constraints.
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Diffusion-based accent modelling in speech synthesis

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By Georgi Tinchev, Marta Czarnowska, Marius Cotescu, Jasha Droppo
| Amazon Science
Amazon Web Services (AWS) is looking for a world class applied scientist in Great China Region (GCR). The candidate will work in GCR CTO Office to drive high visible, high impact AI/ML projects for Chinese customers. The candidate will invent, implement, and deploy state of the art machine learning algorithms under engineering AI. You will build prototypes and explore field new solutions. You will interact closely with our customers and with the academic community.
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