Norbert Braunschweiler

719 total citations
34 papers, 491 citations indexed

About

Norbert Braunschweiler is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Norbert Braunschweiler has authored 34 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 16 papers in Signal Processing and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Norbert Braunschweiler's work include Speech Recognition and Synthesis (25 papers), Speech and dialogue systems (15 papers) and Speech and Audio Processing (13 papers). Norbert Braunschweiler is often cited by papers focused on Speech Recognition and Synthesis (25 papers), Speech and dialogue systems (15 papers) and Speech and Audio Processing (13 papers). Norbert Braunschweiler collaborates with scholars based in United Kingdom, Japan and Germany. Norbert Braunschweiler's co-authors include Sabine Buchholz, Mark Gales, Heiga Zen, Rama Doddipatla, Florian Eyben, Ranniery Maia, Javier Latorre, Sacha Krstulović, Svetlana Stoyanchev and K.M. Knill and has published in prestigious journals such as IEEE Signal Processing Letters, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Norbert Braunschweiler

32 papers receiving 390 citations

Peers

Norbert Braunschweiler
Comparison fields: 5 of 31
  • Artificial Intelligence 422
  • Signal Processing 274
  • Experimental and Cognitive Psychology 128
  • Computer Vision and Pattern Recognition 34
  • Linguistics and Language 20
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Citations per field, relative to Norbert Braunschweiler
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Countries citing papers authored by Norbert Braunschweiler

Since Specialization
Citations

This map shows the geographic impact of Norbert Braunschweiler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Norbert Braunschweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norbert Braunschweiler more than expected).

Fields of papers citing papers by Norbert Braunschweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norbert Braunschweiler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Norbert Braunschweiler. The network helps show where Norbert Braunschweiler may publish in the future.

Co-authorship network of co-authors of Norbert Braunschweiler

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Braunschweiler. A scholar is included among the top collaborators of Norbert Braunschweiler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norbert Braunschweiler. Norbert Braunschweiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 22
4 1
5 13
6 0
7 6
8
Photo-realistic expressive text to talking head synthesis
10
9
Automatic detection of inhalation breath pauses for improved pause modelling in HMM-TTS.
13
10 1
11 45
12 28
13
HMM-based polyglot speech synthesis by speaker and language adaptive training.
4
14 4
15
How (not) to select your voice corpus: random selection vs. phonologically balanced.
7
16 10
17
Assessing the acceptability of the Smartkom speech synthesis voices.
3
18 15
19 2
20 28

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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