Search Results for author: Felix Weninger

Found 8 papers, 1 papers with code

ChannelAugment: Improving generalization of multi-channel ASR by training with input channel randomization

no code implementations23 Sep 2021 Marco Gaudesi, Felix Weninger, Dushyant Sharma, Puming Zhan

End-to-end (E2E) multi-channel ASR systems show state-of-the-art performance in far-field ASR tasks by joint training of a multi-channel front-end along with the ASR model.

Data Augmentation

Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition

no code implementations17 Sep 2021 Felix Weninger, Marco Gaudesi, Ralf Leibold, Roberto Gemello, Puming Zhan

We use a single-channel encoder for CT speech and a multi-channel encoder with Spatial Filtering neural beamforming for FT speech, which are jointly trained with the encoder selection.

Speech Recognition

Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset

no code implementations20 Aug 2020 Huili Chen, Yue Zhang, Felix Weninger, Rosalind Picard, Cynthia Breazeal, Hae Won Park

Automatic speech-based affect recognition of individuals in dyadic conversation is a challenging task, in part because of its heavy reliance on manual pre-processing.

Semi-Supervised Learning with Data Augmentation for End-to-End ASR

no code implementations27 Jul 2020 Felix Weninger, Franco Mana, Roberto Gemello, Jesús Andrés-Ferrer, Puming Zhan

In the result, the Noisy Student algorithm with soft labels and consistency regularization achieves 10. 4% word error rate (WER) reduction when adding 475h of unlabeled data, corresponding to a recovery rate of 92%.

Data Augmentation Image Classification

openXDATA: A Tool for Multi-Target Data Generation and Missing Label Completion

1 code implementation27 Jul 2020 Felix Weninger, Yue Zhang, Rosalind W. Picard

A common problem in machine learning is to deal with datasets with disjoint label spaces and missing labels.

Listen, Attend, Spell and Adapt: Speaker Adapted Sequence-to-Sequence ASR

no code implementations8 Jul 2019 Felix Weninger, Jesús Andrés-Ferrer, Xinwei Li, Puming Zhan

Sequence-to-sequence (seq2seq) based ASR systems have shown state-of-the-art performances while having clear advantages in terms of simplicity.

Language Modelling

A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems

no code implementations15 Dec 2014 Felix Weninger, Björn Schuller, Florian Eyben, Martin Wöllmer, Gerhard Rigoll

Transcription of broadcast news is an interesting and challenging application for large-vocabulary continuous speech recognition (LVCSR).

Speech Recognition

Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures

no code implementations9 Sep 2014 John R. Hershey, Jonathan Le Roux, Felix Weninger

Deep unfolding of this model yields a new kind of non-negative deep neural network, that can be trained using a multiplicative backpropagation-style update algorithm.

Speech Enhancement

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