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09/19/2023
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predi...
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04/10/2023
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit
ESPnet-ST-v2 is a revamp of the open-source ESPnet-ST toolkit necessitat...
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11/11/2022
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation
The black-box nature of end-to-end speech translation (E2E ST) systems m...
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11/10/2022
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding
Collecting sufficient labeled data for spoken language understanding (SL...
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10/27/2022
Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models
End-to-end spoken language understanding (SLU) systems are gaining popul...
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10/11/2022
CTC Alignments Improve Autoregressive Translation
Connectionist Temporal Classification (CTC) is a widely used approach fo...
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07/14/2022
Two-Pass Low Latency End-to-End Spoken Language Understanding
End-to-end (E2E) models are becoming increasingly popular for spoken lan...
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07/06/2022
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding
Conformer has proven to be effective in many speech processing tasks. It...
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06/07/2022
LegoNN: Building Modular Encoder-Decoder Models
State-of-the-art encoder-decoder models (e.g. for machine translation (M...
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05/25/2022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech
We introduce FLEURS, the Few-shot Learning Evaluation of Universal Repre...
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11/29/2021
Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization
Conversational bilingual speech encompasses three types of utterances: t...
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11/29/2021
ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet
As Automatic Speech Processing (ASR) systems are getting better, there i...
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09/27/2021
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates
The multi-decoder (MD) end-to-end speech translation model has demonstra...
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07/24/2021
Differentiable Allophone Graphs for Language-Universal Speech Recognition
Building language-universal speech recognition systems entails producing...
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07/01/2021
ESPnet-ST IWSLT 2021 Offline Speech Translation System
This paper describes the ESPnet-ST group's IWSLT 2021 submission in the ...
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06/29/2021
Rethinking End-to-End Evaluation of Decomposable Tasks: A Case Study on Spoken Language Understanding
Decomposable tasks are complex and comprise of a hierarchy of sub-tasks....
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05/02/2021
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
End-to-end approaches for sequence tasks are becoming increasingly popul...
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11/30/2020
Transformer-Transducers for Code-Switched Speech Recognition
We live in a world where 60 languages fluently. Members of these communi...
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02/26/2020
Universal Phone Recognition with a Multilingual Allophone System
Multilingual models can improve language processing, particularly for lo...
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02/26/2020
Towards Zero-shot Learning for Automatic Phonemic Transcription
Automatic phonemic transcription tools are useful for low-resource langu...
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11/09/2019
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models
Inspired by modular software design principles of independence, intercha...
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08/02/2019
SANTLR: Speech Annotation Toolkit for Low Resource Languages
While low resource speech recognition has attracted a lot of attention f...
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08/02/2019
Multilingual Speech Recognition with Corpus Relatedness Sampling
Multilingual acoustic models have been successfully applied to low-resou...
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07/24/2019
Cross-Attention End-to-End ASR for Two-Party Conversations
We present an end-to-end speech recognition model that learns interactio...
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06/27/2019
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
We present a novel conversational-context aware end-to-end speech recogn...
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02/24/2019
The ARIEL-CMU Systems for LoReHLT18
This paper describes the ARIEL-CMU submissions to the Low Resource Human...
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02/20/2019
Phoneme Level Language Models for Sequence Based Low Resource ASR
Building multilingual and crosslingual models help bring different langu...
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07/28/2018
Domain Robust Feature Extraction for Rapid Low Resource ASR Development
Developing a practical speech recognizer for a low resource language is ...
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02/21/2018
