DigitalPhonetics/nlg-eval DigitalPhonetics/nlg-eval

  • Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
    Python
  • License
    GNU General Publi...
  • Created over 5 years ago
  • Updated about 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
DigitalPhonetics/nlg-eval
github

DigitalPhonetics

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Code accompanying the INLG 2018 paper Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity

More Repositories

1

IMS-Toucan

Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
Python
1,367
star
2

adviser

ADvISER is a flexible framework to encourage task-oriented dialog system research & development
Python
57
star
3

VoicePAT

VoicePAT is a modular and efficient toolkit for voice privacy research, with main focus on speaker anonymization.
Shell
46
star
4

speaker-anonymization

Speaker anonymization pipeline for hiding the identity of the speaker of a recording by changing the voice in it.
Python
41
star
5

reading-comprehension

Comparing attention-based convolutional and recurrent neural networks under adversarial attacks to investigate their success and limitations in machine reading comprehension
Python
11
star
6

cyclegan-emotion-transfer

CycleGAN-based Emotion Style Transfer as Data Augmentation for Speech Emotion Recognition
Python
11
star
7

conversational-tree-search

Code and Data for Conversational Tree Search: A new task that bridges the gap between FAQ-style information retrieval and task-oriented dialog.
Python
5
star
8

IMS-Speech

IMS-Speech is a tool for German, English and Russian speech transcription aiming to facilitate research in various disciplines. We are willing to provide a speech transcription service with an intuitive web interface accessible with a wide range of computing devices and to people with various backgrounds. Our service is available here: https://75474978-c3fa-43a5-aa6c-ee36f2513064.ma.bw-cloud-instance.org/ims-speech/
Go
5
star
9

Intrinsic-Subgraph-Generation-for-VQA

Predicting a subgraph alongside the answer in a graph based VQA model
Python
5
star
10

hard-negative-captions

Python
4
star
11

diagraph

DIAGRAPH: An open-source graphic interface for dialog flow design
Python
4
star
12

multilingual-seq2seq-slu

Materials for the publication "Leveraging Multilingual Self-Supervised Pretrained Models for Sequence-to-Sequence End-to-End Spoken Language Understanding"
Python
2
star
13

BetterFinetuning

Code accompanying our paper on finetuning self-supervised general speech representations with a combination of contrastive and non-contrastive methods.
Python
1
star