204 citations · 714 across the 66 of their papers we have counts for
72 papers · 1 filter
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models
Siddhant Arora, Siddharth Dalmia, Brian Yan +3
End-to-end spoken language understanding (SLU) systems are gaining popularity over cascaded approaches due to their simplicity and ability to avoid error propagation. However, thes…
CTC Alignments Improve Autoregressive Translation
Brian Yan, Siddharth Dalmia, Yosuke Higuchi +4
Connectionist Temporal Classification (CTC) is a widely used approach for automatic speech recognition (ASR) that performs conditionally independent monotonic alignment. However fo…
ASR2K: Speech Recognition for Around 2000 Languages without Audio
Xinjian Li, Florian Metze, David R Mortensen +2
Most recent speech recognition models rely on large supervised datasets, which are unavailable for many low-resource languages. In this work, we present a speech recognition pipeli…
Two-Pass Low Latency End-to-End Spoken Language Understanding
Siddhant Arora, Siddharth Dalmia, Xuankai Chang +3
End-to-end (E2E) models are becoming increasingly popular for spoken language understanding (SLU) systems and are beginning to achieve competitive performance to pipeline-based app…
Building African Voices
Perez Ogayo, Graham Neubig, Alan W Black
Modern speech synthesis techniques can produce natural-sounding speech given sufficient high-quality data and compute resources. However, such data is not readily available for man…
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
Shruti Palaskar, Akshita Bhagia, Yonatan Bisk +3
Combining the visual modality with pretrained language models has been surprisingly effective for simple descriptive tasks such as image captioning. More general text generation ho…