Good news for Indian tech companies who use Google Maps APIs.
Google announces "India specific pricing" for Maps APIs, with up to 70% lower prices on most APIs.
In my 5 years at Swiggy, I never saw Google Maps drop their prices. Maps API billing moved in only one direction - up.
It's great to see competition drive prices lower for consumers. Kudos to @MapmyIndia
and @Krutrim for shaking up this monopoly.
When companies compete, consumers benefit.
https://t.co/EKKsPcQ1Ui
🤯 Human-like TTS is now ~11x cheaper(no pun)
Text to Speech was an entirely new one in OpenAI DevDay, adding directly to their multi-modal stack
Sharing some samples - 6 voices, multiple languages, cheaper, streamable and very human like
🧵...
Bravo! The audio-visual dataset used @DCASE_Challenge task3, Sony-TAu Realistic Spatial Soundscapes 2023 (STARSS23), will be presented @NeurIPSConf
Paper: https://t.co/jl5JdREMMQ
Dataset: https://t.co/FykmJlDNdv
Great effort by Kazuki, TAU and Sony colleagues
#NeurIPS2023
Our work done at @RakutenRIT on making text-to-speech models expressive for automatic production of audiobooks just got accepted at #ICASSP2023
Thanks to our collaborators Xin-san and @forthshinji-san from @UTokyo_News_en
and my colleagues @fm_ang@kulashish@Obs25oct
With just ~5-10 minutes of your speech recording this tech will make YOU speak in any language! 🤯🤯🤯
Content creators and celebrities can now cater to audience beyond their native language!
#voicecloning#multilingual
We have an open Research Engineer internship position at @dubverse_ai
The internship is focused on NMT and requires you to have a piece of knowledge of NLP, Transformers, and general AI modeling.
Details + how to apply: https://t.co/BLPuQRtFnJ
#research#internship#NLP
We are hiring multiple audio and speech researchers for internships, junior and mid-level careers at @RakutenRIT. We are the research wing of @RakutenGroup and support their 70+ businesses. So you get to work on a variety of problems. Check links below for the job descriptions.
The proposed training procedure results in large improvements in localization error, detection metrics, and tracking capabilities. Code available here: https://t.co/hYAoUY1J3y
📢 New paper: A multi-source localization and tracking approach for dynamic sound scenes with varying numbers of sources.
'Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers' with Archontis Politis and @TuomasVirt at WASPAA
https://t.co/CjhW91S1Pm
We further formulate the popular tracking-based metrics of CLEAR-MOT as a differential objective function and optimise the multi source localizer directly on it.