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Ankita Pasad

20 papers hereh-index 131.2k citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author6
  • middle author10

Across the 17 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.CV2
  • cs.SD1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedComparative layer-wise analysis of self-supervised speech models

2 citations · 9 across the 16 of their papers we have counts for

collaborators
Showing 2025Show all

2 papers · 1 filter

cs.CL2025

What do Speech Foundation Models Learn? Analysis and Applications

Ankita Pasad

Speech foundation models (SFMs) are designed to serve as general-purpose representations for a wide range of speech-processing tasks. The last five years have seen an influx of inc…

cs.CL2025★ 1 cited

Training and Inference Efficiency of Encoder-Decoder Speech Models

Piotr Żelasko, Kunal Dhawan, Daniel Galvez +7

Attention encoder-decoder model architecture is the backbone of several recent top performing foundation speech models: Whisper, Seamless, OWSM, and Canary-1B. However, the reporte…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.