Amazon Developer Blogs

Amazon Developer Blogs

August 15, 2019

Karen Yue

Alexa Smart Toys

Today, we are excited to introduce new developer tools that enable you to connect gadgets, games, and smart toy products with immersive skill-based content—unlocking creative ways for customers to experience your product. This is made possible using Custom Interfaces.

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August 15, 2019

Boya Yu

Based on embeddings, system suggests named entities — or "slot values" — that developers might want their skills to recognize.

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August 14, 2019

Takuya Goshima

みなさまが開発されたAlexaスキルはスキルストアへの公開に当たり、Alexa審査チームが規定された要件をもとに認定審査をさせていただき、 スキルがよいユーザー体験をお届けできるよう必要に応じてフィードバックをさせていただいています。このブログではスキルを申請いただいた際に、特に改善の指摘を受けている項目について紹介します。今回は「スキル内課金」についてです。

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August 14, 2019

Leo Ohannesian

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What's new in the Alexa Skills Kit for July 2019? Read our release roundup blog to find out.

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August 14, 2019

Emma Martensson

Voice Agency 'Say It Now' CEO Discusses Reaping Big Rewards from the Voice Industry

Charlie Cadbury, CEO of Say It Now, has adapted alongside technology since 1999 when he sold his first website. Today, Say It Now is a group of enterprise natural language processing (NLP) experts building out conversational strategies and products alongside Fortune 500 companies.

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August 13, 2019

Rebecca Evanhoe

Great Alexa skills depend on written prompts. This post covers five benchmarks your Alexa skill’s dialog should meet, and specific techniques for how you can get there.

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August 13, 2019

Chieh-Chi Kao

Two new papers explore techniques for increasing the computational efficiency and reducing the memory footprints of neural networks that process audio data.

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August 09, 2019

Pan Wangperawong

In this tutorial, we will go over how to integrate the Reminders API into your skill to actively extend its utility without requiring customers to launch your skill.

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August 08, 2019

Mengwen Liu

Pooling the training data for related skills, and using it to train the skills simultaneously, improves performance for all of them.

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August 07, 2019

Chetan Naik

Different Alexa services use different names for the same types of data, which makes it hard to track references across dialogues. By learning correlations between data types, a machine learning model can make better decisions about which references to track from one round of dialogue to the next.

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