Zobrazeno 1 - 10
of 8 029
pro vyhledávání: '"P Ginsburg"'
Autor:
Sandoval-Garrido, N. A., Stutz, A. M., Álvarez-Gutiérrez, R. H., Galván-Madrid, R., Motte, F., Ginsburg, A., Cunningham, N., Reyes-Reyes, S., Redaelli, E., Bonfand, M., Salinas, J., Koley, A., Braine, J., Bronfman, L., Busquet, G., Csengeri, T., Di Francesco, J., Fernández-López, M., Garcia, P., Gusdorf, A., Liu, H. -L., Sanhueza, P.
ALMA-IMF observed 15 massive protoclusters capturing multiple spectral lines and the continuum emission. We focus on the G351.77 protocluster ($\sim$ 2500 M$_{\odot}$, estimated from single-dish continuum observations) located at 2 kpc. We trace the
Externí odkaz:
http://arxiv.org/abs/2410.09843
Autor:
Crowe, Samuel, Fedriani, Rubén, Tan, Jonathan C., Kinman, Alva, Zhang, Yichen, Andersen, Morten, Ferres, Lucía Bravo, Nogueras-Lara, Francisco, Schödel, Rainer, Bally, John, Ginsburg, Adam, Cheng, Yu, Yang, Yao-Lun, Kendrew, Sarah, Law, Chi-Yan, Armstrong, Joseph, Li, Zhi-Yun
We present James Webb Space Telescope (JWST)-NIRCam observations of the massive star-forming molecular cloud Sagittarius C (Sgr C) in the Central Molecular Zone (CMZ). In conjunction with ancillary mid-IR and far-IR data, we characterize the two most
Externí odkaz:
http://arxiv.org/abs/2410.09253
Autor:
Nilipour, Andy, Ott, Juergen, Meier, David S., Svoboda, Brian, Sormani, Mattia C., Ginsburg, Adam, Gramze, Savannah R., Butterfield, Natalie O., Klessen, Ralf S.
The Central Molecular Zone (CMZ) of the Milky Way is fed by gas inflows from the Galactic disk along almost radial trajectories aligned with the major axis of the Galactic bar. However, despite being fundamental to all processes in the nucleus of the
Externí odkaz:
http://arxiv.org/abs/2410.09258
We present \textbf{H}ybrid-\textbf{A}utoregressive \textbf{IN}ference Tr\textbf{AN}sducers (HAINAN), a novel architecture for speech recognition that extends the Token-and-Duration Transducer (TDT) model. Trained with randomly masked predictor networ
Externí odkaz:
http://arxiv.org/abs/2410.02597
We propose a novel neural network architecture, the normalized Transformer (nGPT) with representation learning on the hypersphere. In nGPT, all vectors forming the embeddings, MLP, attention matrices and hidden states are unit norm normalized. The in
Externí odkaz:
http://arxiv.org/abs/2410.01131
Autor:
Lu, Ke-Han, Chen, Zhehuai, Fu, Szu-Wei, Yang, Chao-Han Huck, Balam, Jagadeesh, Ginsburg, Boris, Wang, Yu-Chiang Frank, Lee, Hung-yi
Recent end-to-end speech language models (SLMs) have expanded upon the capabilities of large language models (LLMs) by incorporating pre-trained speech models. However, these SLMs often undergo extensive speech instruction-tuning to bridge the gap be
Externí odkaz:
http://arxiv.org/abs/2409.20007
Autor:
Żelasko, Piotr, Chen, Zhehuai, Wang, Mengru, Galvez, Daniel, Hrinchuk, Oleksii, Ding, Shuoyang, Hu, Ke, Balam, Jagadeesh, Lavrukhin, Vitaly, Ginsburg, Boris
A rising interest in the modality extension of foundation language models warrants discussion on the most effective, and efficient, multimodal training approach. This work focuses on neural machine translation (NMT) and proposes a joint multimodal tr
Externí odkaz:
http://arxiv.org/abs/2409.13523
META-CAT: Speaker-Informed Speech Embeddings via Meta Information Concatenation for Multi-talker ASR
Autor:
Wang, Jinhan, Wang, Weiqing, Dhawan, Kunal, Park, Taejin, Kim, Myungjong, Medennikov, Ivan, Huang, He, Koluguri, Nithin, Balam, Jagadeesh, Ginsburg, Boris
We propose a novel end-to-end multi-talker automatic speech recognition (ASR) framework that enables both multi-speaker (MS) ASR and target-speaker (TS) ASR. Our proposed model is trained in a fully end-to-end manner, incorporating speaker supervisio
Externí odkaz:
http://arxiv.org/abs/2409.12352
Autor:
Nonhebel, M., Barnes, A. T., Immer, K., Armijos-Abendaño, J., Bally, J., Battersby, C., Burton, M. G., Butterfield, N., Colzi, L., García, P., Ginsburg, A., Henshaw, J. D., Hu, Y., Jiménez-Serra, I., Klessen, R. S., Liang, F. -H., Longmore, S. N., Lu, X., Martín, S., Nogueras-Lara, F., Petkova, M. A., Pineda, J. E., Rivilla, V. M., Sánchez-Monge, Á., Santa-Maria, M. G., Smith, H. A., Sofue, Y., Sormani, M. C., Tolls, V., Walker, D. L., Wang, Q. D., Williams, G. M., Xu, F. -W.
The Milky Way's Central Molecular Zone (CMZ) differs dramatically from our local solar neighbourhood, both in the extreme interstellar medium conditions it exhibits (e.g. high gas, stellar, and feedback density) and in the strong dynamics at play (e.
Externí odkaz:
http://arxiv.org/abs/2409.12185
Autor:
Hu, Ke, Chen, Zhehuai, Yang, Chao-Han Huck, Żelasko, Piotr, Hrinchuk, Oleksii, Lavrukhin, Vitaly, Balam, Jagadeesh, Ginsburg, Boris
Large language models (LLMs) have demonstrated remarkable advancements in language understanding and generation. Building on the success of text-based LLMs, recent research has adapted these models to use speech embeddings for prompting, resulting in
Externí odkaz:
http://arxiv.org/abs/2409.11538