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Found 11 papers, 3 papers with code
Towards Personality-Aware Chatbots
Chatbots are increasingly used to automate operational processes in customer service.
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation
On the one hand, the human assessment of summarization quality conducted by linguistic experts is slow, expensive, and still not a standardized procedure.
Reliability of Human Evaluation for Text Summarization: Lessons Learned and Challenges Ahead
Based on our empirical analysis, we provide guidelines to ensure the reliability of expert and non-expert evaluations, and we determine the factors that might affect the reliability of the human evaluation.
Towards Hybrid Human-Machine Workflow for Natural Language Generation
In recent years, crowdsourcing has gained much attention from researchers to generate data for the Natural Language Generation (NLG) tools or to evaluate them.
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings
In this paper, we show that StarGANv2-VC fails to disentangle the speaker and emotion representations, pertinent to preserve emotion.
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion
Speech anonymisation prevents misuse of spoken data by removing any personal identifier while preserving at least linguistic content.
Speaker adaptation for Wav2vec2 based dysarthric ASR
Speaker adaptation using fMLLR and xvectors have provided major gains for dysarthric speech with very little adaptation data.
Towards Human-Free Automatic Quality Evaluation of German Summarization
Evaluating large summarization corpora using humans has proven to be expensive from both the organizational and the financial perspective.
Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization
The intrinsic and extrinsic quality evaluation is an essential part of the summary evaluation methodology usually conducted in a traditional controlled laboratory environment.
Crowdsourcing a Multi-lingual Speech Corpus: Recording, Transcription and Annotation of the CrowdIS Corpora
We announce the release of the CROWDED CORPUS: a pair of speech corpora collected via crowdsourcing, containing a native speaker corpus of English (CROWDED{\_}ENGLISH), and a corpus of German/English bilinguals (CROWDED{\_}BILINGUAL).
Improving Automatic Emotion Recognition from speech using Rhythm and Temporal feature
This paper is devoted to improve automatic emotion recognition from speech by incorporating rhythm and temporal features.
