Search Results for author: Benjamin Milde

Found 9 papers, 5 papers with code

Forum 4.0: An Open-Source User Comment Analysis Framework

no code implementations EACL 2021 Marlo Haering, Jakob Smedegaard Andersen, Chris Biemann, Wiebke Loosen, Benjamin Milde, Tim Pietz, Christian St{\"o}cker, Gregor Wiedemann, Olaf Zukunft, Walid Maalej

With the increasing number of user comments in diverse domains, including comments on online journalism and e-commerce websites, the manual content analysis of these comments becomes time-consuming and challenging.

BIG-bench Machine Learning

Open Source Automatic Speech Recognition for German

2 code implementations26 Jul 2018 Benjamin Milde, Arne Köhn

The models are trained on a total of 412 hours of German read speech data and we achieve a relative word error reduction of 26% by adding data from the Spoken Wikipedia Corpus to the previously best freely available German acoustic model recipe and dataset.

Ranked #6 on Speech Recognition on TUDA (using extra training data)

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Unspeech: Unsupervised Speech Context Embeddings

no code implementations18 Apr 2018 Benjamin Milde, Chris Biemann

We introduce "Unspeech" embeddings, which are based on unsupervised learning of context feature representations for spoken language.

Clustering

Open Source German Distant Speech Recognition: Corpus and Acoustic Model

1 code implementation International Conference on Text, Speech, and Dialogue 2015 Stephan Radeck-Arneth, Benjamin Milde, Arvid Lange, Evandro Gouvea, Stefan Radomski, Max Mühlhäuser, and Chris Biemann

We present a new freely available corpus for German distant speech recognition and report speaker-independent word error rate (WER) results for two open source speech recognizers trained on this corpus.

Distant Speech Recognition speech-recognition

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