transcript
Topic
To begin investing in measuring the relevance of a conversation to a predefined agenda topic, a comprehensive dataset of conversations associated with the topic of each conversation section is needed.
- North America > United States > Iowa (0.04)
- North America > Canada > Ontario > Toronto (0.04)
- Europe > France > Provence-Alpes-Côte d'Azur > Bouches-du-Rhône > Marseille (0.04)
- North America > United States > Louisiana > Orleans Parish > New Orleans (0.04)
- North America > United States > Hawaii > Honolulu County > Honolulu (0.04)
- North America > Canada (0.04)
- (2 more...)
- Research Report > Experimental Study (0.68)
- Research Report > New Finding (0.68)
- Information Technology > Biomedical Informatics > Translational Bioinformatics (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Vision (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.47)
OnscalableoversightwithweakLLMsjudgingstrong LLMs
Previous work assigned debaters/consultants an answer to argue for.
- Asia > Middle East > Jordan (0.04)
- North America > United States > New York (0.04)
- North America > United States > New Jersey > Hudson County > Hoboken (0.04)
- Asia > India > Karnataka > Bengaluru (0.04)
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia, Yu Zhang, Ron Weiss, Quan Wang, Jonathan Shen, Fei Ren, zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio Lopez Moreno, Yonghui Wu
Neural Information Processing Systems http://nips.cc/
- North America > United States (0.04)
- North America > Canada > Quebec > Montreal (0.04)
- Europe > Switzerland > Zürich > Zürich (0.04)
- Asia > Middle East > Israel > Tel Aviv District > Tel Aviv (0.04)
- Africa (0.04)
- Health & Medicine > Therapeutic Area > Hematology (0.70)
- Health & Medicine > Therapeutic Area > Oncology > Leukemia (0.48)
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale Matthew Le
In particular, V oicebox outperforms the state-of-the-art zero-shot TTS model V ALL-E on both intelligibility (5.9% vs 1.9% word error rates) and audio similarity (0.580 vs 0.681) while being up to 20 times faster.
- North America > Canada > Quebec > Montreal (0.04)
- South America > Colombia > Meta Department > Villavicencio (0.04)
- Asia > Middle East > Israel > Jerusalem District > Jerusalem (0.04)
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Speech > Speech Recognition (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.67)
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale Matthew Le
In particular, V oicebox outperforms the state-of-the-art zero-shot TTS model V ALL-E on both intelligibility (5.9% vs 1.9% word error rates) and audio similarity (0.580 vs 0.681) while being up to 20 times faster.
- North America > Canada > Quebec > Montreal (0.04)
- South America > Colombia > Meta Department > Villavicencio (0.04)
- Asia > Middle East > Israel > Jerusalem District > Jerusalem (0.04)
- Information Technology > Artificial Intelligence > Vision (1.00)
- Information Technology > Artificial Intelligence > Speech > Speech Recognition (1.00)
- Information Technology > Artificial Intelligence > Natural Language (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.67)