Adi, Yossi

Real Time Speech Enhancement in the Waveform Domain

Défossez, A., Synnaeve, G., & Adi, Y. (2020) · Interspeech 2020

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 537

Code Llama: Open Foundation Models for Code

Rozière, B., Gehring, J., Gloeckle, F., Sootla, S., Gat, I., Tan, X. E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 531

High Fidelity Neural Audio Compression

Défossez, A., Copet, J., Synnaeve, G., & Adi, Y. (2022) · arXiv

Speech and Audio ProcessingMusic and Audio Processing

Cited by 282

Scaling Speech Technology to 1, 000+ Languages

Pratap, V., Tjandra, A., Shi, B., Tomasello, P., Babu, A., Kundu, S., Elkahky, A., Ni, Z., Vyas, A., Fazel-Zarandi, M., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 116

Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation

Yariv, G., Gat, I., Benaim, S., Wolf, L., Schwartz, I., & Adi, Y. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 59

Analysis of sentence embedding models using prediction tasks in natural language processing

Adi, Y., Kermany, E., Belinkov, Y., Lavi, O., & Goldberg, Y. (2017) · IBM Journal of Research and Development

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 21

Text-Free Prosody-Aware Generative Spoken Language Modeling

Kharitonov, E., Lee, A., Polyak, A., Adi, Y., Copet, J., Lakhotia, K., Nguyen, T.-A., Rivière, M., Mohamed, A., Dupoux, E., et al. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 16

Transformers are Multi-State RNNs

Oren, M., Hassid, M., Yarden, N., Adi, Y., & Schwartz, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 16

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation

Hassid, M., Remez, T., Gehring, J., Schwartz, R., & Adi, Y. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 6

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0