Now that @WavLab has created an open-science alternative to Whisper (called OWSM), I hope researchers building/analyzing whisper-based systems switch to OWSM instead!
📢🗣️The first Arabic TTS challenge: QASR TTS 1.0 is open for registration! Part of #ASRU2023, Two tracks:
1⃣ 1 hour of clean and revised data.
2⃣ 10 hours of automatically labeled data.
Build your own Arabic anchor speaker!
👉https://t.co/bPcbHNg6Hu
#speechproc#tts#GenerativeAI
📢🗣️The first Arabic TTS Challenge: QASR TTS 1.0 is open for registration! Part of #ASRU2023, 2 tracks:
1: 1 hour of clean and revised data
2: 10 hours of semi-labeled Broadcast data.
Build your own Arabic News Anchor.
👉https://t.co/bPcbHNg6Hu
#speechproc#tts#GenerativeAI
📢The largest 2,000 hours multi-layer annotated corpus QASR is available @ https://t.co/sPwMy4DSLj QASR is suitable for ASR, dialect ID, punctuation, speaker ID-linking, and potentially other NLP modules for spoken data.
#nlproc#speechproc#Arabic#AI@QatarComputing@qcrialt
Build your anchor speaker text to speech using less than one hour!
Unsupervised Data Selection for Text to Speech: Using Arabic Broadcast News as a Case Study
Blog: https://t.co/6dX7FAmQV7
Code: https://t.co/jAf5S8ilwI
Demo: https://t.co/H7R2Nga1v8
Paper: https://t.co/0lQlvFYXYg
🌟What comes after deep learning?
Join us for in-person #panelDiscussion lead by Dr Sanjeev and our panelist for a thought-provoking discussion on 11 Jan23. For any question/comment to our panelist email us: [email protected] or reply to this tweet.
https://t.co/UFShsLBBcn
First speech conference in the region. Don't miss it out.
2-days #speechproc hackathon and Technologies for the spoken languages of the world. Join in person and make SLT2022 success!
https://t.co/Ia1Mf4ZeHV
We received many requests to extend author registration due to @ieeeICASSP submission deadline.
📢We extended the author registration period till 3 November.
Join us in person in Doha, for SLT2022. 🏜️
Have you wondered about the magic behind generative AI art tools like DALL·E and Midjourney? Seeing the outputs is fun, and learning the algorithms can be even more rewarding. Today we look at 4 popular Machine Learning models — Autoencoder, Transformer, Diffusion Model, and GAN.
Last chance! Submit a paper for #SLT2022 by July 15, 2022. Learn more about all topics and submission guidelines here: https://t.co/T6vwhCt6UV
@ieee_slt#speechProc
Have you ever considered becoming a student volunteer? We are looking for student volunteers to work with us in Incheon - we have an interesting offer for you that combines your learning experience with support for the registration! https://t.co/rqnchE9yFe
JSALT2022 Opening Day Presentation: Multilingual and Code-Switching Speech Recognition by @ahmaksod
@jhuclsp
https://t.co/8KJ4V5MybG
https://t.co/Xer1bfIui4
#speechproc
Exciting Hackathon Announcement:
Have you ever asked yourself how your smartphone recognizes what you say and who you are?
How do machines recognize different languages?
Interested? Apply/register here: https://t.co/YKZlP4hQ8O The deadline for registration is November 4th, 2022.
The deadline for Full Paper Submission is approaching fast! 15th of July 2022. The submission instructions are available here: https://t.co/T6vwhCbw3n
#SpeechProc#SLT2022#deadline#callforpapers
OPT-175b:
Open Pre-Trained language model with 175 billion paramaters is now available to the research community.
Blog post: https://t.co/NBacfKGUHC
Paper: https://t.co/tLYUoWisZA
Code + small pre-trained models: https://t.co/M9nLCOf3Rx
(using OPT-175b requires a registration)