Purely AI News: For AI professionals in a hurry
July 18, 2020
Microsoft and Zhajiang Univ. researchers create AI Model that can sing in several languages including both Chinese and English
The DeepSinger AI developed by the team was trained on data from different music sources, using algorithms capturing the singer's vocal timbre. The sounds they make when people sing have far more complex rhythms and patterns compared to simple speech. Another challenge to be solved by the team was that although there is a reasonable amount of speaking/speaking training data available, training data sets for singing is very uncommon. Combine these problems with the fact that songs need to have an analysis of both sound and lyrics, and the challenge of a singing performance generation is extremely complex.

By creating a data pipeline that mined and transformed audio data, the DeepSinger system created by the researchers overcame all these challenges. The singing clips were extracted from different music websites, and then the singing was isolated from the rest of the audio and split into sentences. The next step was to determine the length of each phoneme within the lyrics, resulting in a series of samples each representing a unique lyric phoneme. Data cleaning is done to deal with any distorted training samples after the lyrics are sorted according to the confidence score and the accompanying audio samples.

For a number of languages, it appears that the very same methods succeed. DeepSinger was trained on more than 92 hours of audio in Chinese, Canton, and English, consisting of clips from 89 different singers. The study results showed that the DeepSinger model was able to consistently produce high-quality "singing" samples based on metrics such as pitch accuracy and how natural the vocals sounded.

Some of the audio samples generated can be listened to at https://speechresearch.github.io/deepsinger/

Aug. 2, 2020

Sample Factory, a new training framework for Reinforcement Learning slashes the level of compute required for state-of-the-art results

July 31, 2020

Intel joins hands with researchers from MIT and Georgia Tech to work on a code improvement recommendation system, develops "An End-to-End Neural Code Similarity System"

July 25, 2020

Google's tensorflow-lite framework for deep learning is now more than 2x faster on average, using operator fusion and optimizations for additional CPU instruction sets

July 23, 2020

Fawkes: An AI system that puts an 'invisibility cloak' on images so that facial recognition algorithms are not able to reveal identities of people without permission

July 22, 2020

Researchers from Austria propose an AI system that reads sheet music from raw images and aligns that to a given audio accurately

July 21, 2020

WordCraft: A Reinforcement Learning environment for enabling common-sense based agents

July 20, 2020

A designer who worked on over 20 commercial projects for a year turns out to be an AI built by the Russian design firm Art. Lebedev Studio

July 19, 2020

Microsoft is developing AI to improve camera-in-display technology for natural perspectives and clearer visuals in video calls

July 18, 2020

New event-based learning algorithm 'E-Prop' inspired by the Human brain is more efficient than conventional Deep Learning

July 17, 2020

Scientists from the University of California address the false-negative problem of MRI Reconstruction Networks using adversarial techniques

July 16, 2020

A new technique of exposing DeepFakes uses the classical signal processing technique of frequency analysis

July 16, 2020

New AI model By Facebook researchers can recognize five different voices speaking simultaneously, pushes state-of-the-art forward

July 15, 2020

Researchers from Columbia Univ. and DeepMind propose a new framework for Taylor Expansion Policy Optimization (TayPO)

July 14, 2020

Federated Learning is finally here; Presagen's new algorithm creates higher performing AI than traditional centralized learning

July 14, 2020

Fujitsu designed a new Deep Learning based method for dimensionality reduction inspired by compression technology

July 12, 2020

Databricks donates its immensely popular MLflow framework to the Linux Foundation

July 12, 2020

Microsoft Research restores old photos that suffer from severe degradation with a new deep learning based approach

July 12, 2020

Amazon launches a new AI based automatic code review service named CodeGuru

July 12, 2020

IBM launches new Deep Learning project: Verifiably Safe Reinforcement Learning (VSRL) framework

July 12, 2020

DevOps for ML get an upgrade with new open-source CI/CD library, "Continuous Machine Learning (CML)"

July 12, 2020

DeepMind's new open-sourced Reinforcement-Learning library, dm_control, packs a simple interface to common RL utilities

July 12, 2020

Learning to learn: Google's AutoML-Zero learns to evolve new ML algorithms from scratch