Michael L. Seltzer
12 papers · 2016–2024 · 1 conference · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Academic Marathon (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Cross-Pollinator (13)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π¬
Deep Specialist
(10)
π
Conference Pioneer
ποΈ
Keyword Collector
(57)
β‘
Prolific Year
(6)
π
Century Club
(12)
Conferences
INTERSPEECH (12)
Top co-authors
Keywords
automatic speech recognition
(5)
speech recognition
(5)
word error rate
(4)
on-device speech recognition
(3)
acoustic model
(2)
end-to-end speech recognition
(2)
spoken language understanding
(2)
latency optimization
(2)
attention mechanism
(2)
collaborative learning
(1)
phoneme recognition
(1)
hidden layer
(1)
text representation
(1)
knowledge distillation
(1)
feature space
(1)
evaluation metric
(1)
acoustic modeling
(1)
end-to-end learning
(1)
language model
(1)
deep neural network
(1)
Papers
Towards measuring fairness in speech recognition: Fair-Speech dataset
INTERSPEECH 2024
Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding
INTERSPEECH 2023
Dynamic Encoder Transducer: A Flexible Solution for Trading Off Accuracy for Latency
INTERSPEECH 2021
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding
INTERSPEECH 2021
Flexi-Transducer: Optimizing Latency, Accuracy and Compute for Multi-Domain On-Device Scenarios
INTERSPEECH 2021
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
INTERSPEECH 2021
Collaborative Training of Acoustic Encoders for Speech Recognition
INTERSPEECH 2021
Contextualized Streaming End-to-End Speech Recognition with Trie-Based Deep Biasing and Shallow Fusion
INTERSPEECH 2021
Weak-Attention Suppression for Transformer Based Speech Recognition
INTERSPEECH 2020
Joint Grapheme and Phoneme Embeddings for Contextual End-to-End ASR
INTERSPEECH 2019
Large-Scale Domain Adaptation via Teacher-Student Learning
INTERSPEECH 2017
On the Role of Nonlinear Transformations in Deep Neural Network Acoustic Models
INTERSPEECH 2016