Search Results for author: Andrea Vanzo

Found 12 papers, 3 papers with code

Anatomy of Industrial Scale Multilingual ASR

no code implementations15 Apr 2024 Francis McCann Ramirez, Luka Chkhetiani, Andrew Ehrenberg, Robert McHardy, Rami Botros, Yash Khare, Andrea Vanzo, Taufiquzzaman Peyash, Gabriel Oexle, Michael Liang, Ilya Sklyar, Enver Fakhan, Ahmed Etefy, Daniel McCrystal, Sam Flamini, Domenic Donato, Takuya Yoshioka

This paper describes AssemblyAI's industrial-scale automatic speech recognition (ASR) system, designed to meet the requirements of large-scale, multilingual ASR serving various application needs.

Anatomy Automatic Speech Recognition +4

Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping

no code implementations10 Apr 2024 Kevin Zhang, Luka Chkhetiani, Francis McCann Ramirez, Yash Khare, Andrea Vanzo, Michael Liang, Sergio Ramirez Martin, Gabriel Oexle, Ruben Bousbib, Taufiquzzaman Peyash, Michael Nguyen, Dillon Pulliam, Domenic Donato

This paper presents Conformer-1, an end-to-end Automatic Speech Recognition (ASR) model trained on an extensive dataset of 570k hours of speech audio data, 91% of which was acquired from publicly available sources.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Going for GOAL: A Resource for Grounded Football Commentaries

1 code implementation8 Nov 2022 Alessandro Suglia, José Lopes, Emanuele Bastianelli, Andrea Vanzo, Shubham Agarwal, Malvina Nikandrou, Lu Yu, Ioannis Konstas, Verena Rieser

As the course of a game is unpredictable, so are commentaries, which makes them a unique resource to investigate dynamic language grounding.

Moment Retrieval Retrieval

Encoding Syntactic Constituency Paths for Frame-Semantic Parsing with Graph Convolutional Networks

no code implementations26 Nov 2020 Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon

We study the problem of integrating syntactic information from constituency trees into a neural model in Frame-semantic parsing sub-tasks, namely Target Identification (TI), FrameIdentification (FI), and Semantic Role Labeling (SRL).

Semantic Parsing Semantic Role Labeling +1

SLURP: A Spoken Language Understanding Resource Package

1 code implementation EMNLP 2020 Emanuele Bastianelli, Andrea Vanzo, Pawel Swietojanski, Verena Rieser

Spoken Language Understanding infers semantic meaning directly from audio data, and thus promises to reduce error propagation and misunderstandings in end-user applications.

Ranked #3 on Slot Filling on SLURP (using extra training data)

Intent Classification Slot Filling +1

Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games

no code implementations COLING 2020 Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon

However, as shown by Suglia et al. (2020), existing models fail to learn truly multi-modal representations, relying instead on gold category labels for objects in the scene both at training and inference time.


CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning

no code implementations ACL 2020 Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank, Oliver Lemon

To remedy this, we present GROLLA, an evaluation framework for Grounded Language Learning with Attributes with three sub-tasks: 1) Goal-oriented evaluation; 2) Object attribute prediction evaluation; and 3) Zero-shot evaluation.

Attribute Grounded language learning

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