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Deep learning for speech recognition and profiling

This will be presented in English.

Yishay Carmiel (IntelligentWire)
14:5015:30 Thursday, April 12, 2018
Secondary topics:  自然语言与语音技术(Natural Language and Speech Technologies)

必要预备知识 (Prerequisite Knowledge)

A basic understanding of machine learning

您将学到什么 (What you'll learn)

Learn how deep learning is being applied to speech-based applications and the remaining challenges

描述 (Description)


For years, humans have dreamed of systems that truly understand humans speaking (in different environments, with a variety of accents and languages)—with no success. Pinpointing effective strategies for creating such a system seemed impossible.

In the past years, breakthroughs in AI and especially in deep learning have changed everything in the quest for speech recognition. Applying deep learning techniques has enabled remarkable results. Today, we see this leap forward in development manifesting in a wide range of products.

Yishay Carmiel offers an overview of neural models in speech applications, covering the dominant techniques and the elements that have contributed to the rapid progress. Yishay also looks to the future, examining which problems still remain and how far we are from solving them.

Topics include:

  • How neural models are being applied for speech recognition, especially for acoustic and language models
  • Speech profiling, its main applications, and how neural models are applied
  • Future challenges and research in a speech-based application and how neural models will be part of it



• 神经网络模型是如何被持续地应用于语音识别,特别是语音和语言的模型。
• 什么是语音画像、它的主要应用和如何应用神经网络模型。
• 未来基于语音应用的研究和挑战,以及神经网络模型在其中处于什么地位。

Photo of Yishay Carmiel

Yishay Carmiel


Yishay Carmiel is the founder of IntelligentWire, a company that develops and implements industry-leading deep learning and AI technologies for automatic speech recognition (ASR), natural language processing (NLP), and advanced voice data extraction, and is the head of Spoken Labs, the strategic artificial intelligence and machine learning research arm of Spoken Communications. Yishay and his teams are currently working on bleeding-edge innovations that make the real-time customer experience a reality—at scale. Yishay has nearly 20 years’ experience as an algorithm scientist and technology leader building large-scale machine learning algorithms and serving as a deep learning expert.