A language assistance platform
»Made in Germany«

Become an associated partner of this project

A partnership gives you the opportunity to meet your market-specific requirements for a natural language assistance system.

Voice assistants are a core technology for human-machine interaction and provide access to product offerings and services via natural language. So far, companies in the US and Asia have dominated the market for voice assistance technology. However, the demand for voice assistant solutions in German production and retail industries is enormous, especially with regard to data sovereignty, as there is a need for better protection and the secure exchange of personal data. A German-made voice assistant solution would make this possible by implementing European standards of data security. At the same time, a new level of quality in human-machine communication that goes far beyond the semantic capabilities of current systems is enabling much more user-friendly systems.

To this end, experts from the fields of speech signal processing, natural language understanding, artificial intelligence and software engineering have joined forces at Fraunhofer IIS and Fraunhofer IAIS. Fraunhofer IIS already holds a world-leading position in the field of acoustic signal processing technology, which forms the basis for the high reliability and robustness of speech processing. Fraunhofer IAIS has developed leading algorithms in the field of automatic speech recognition and question answering. The goal is to further expand this technological leadership and integrate it into a scalable, multilingual and open voice assistant platform. Fraunhofer technology can then be adapted to specific company requirements and support the data sovereignty required in the production and retail industry.

As part of the »Artificial intelligence as a driver for economically relevant ecosystems« innovation competition, Fraunhofer is working on a concept for SPEAKER, a large-scale research and development project supported by funding from the German Federal Ministry for Economic Affairs and Energy.



The SPEAKER project seeks to develop a leading German-made voice assistant platform for business-to-business (B2B) applications. This platform should be open, modular and scalable and provide technologies, services and data via service interfaces. The SPEAKER platform will be embedded in a comprehensive ecosystem made up of big industry, SMEs, start-ups and research partners who secure high innovation capabilities. The Fraunhofer Institutes for Intelligent Analysis and Information Systems IAIS and for Integrated Circuits IIS, which already possess the relevant technologies and experience in the field of voice assistant technologies, platforms (e.g. AI4EU – European AI on-demand platform) and global marketing strategies for voice and audio technologies (e.g. MP3), will ensure the development of the platform and the ecosystem.

The two Fraunhofer Institutes IIS and IAIS have conducted workshops with numerous companies to establish requirements, determine obstacles and recommend actions that will serve as a basis for platform design and development. Key arguments for a German-made voice assistant platform include data protection, security, privacy and trust. The lack of these has become evident particularly from the recently reported incidents of non-GDPR-compliant speech analysis by Google, Alexa and Siri. This is all the more applicable in the B2B environment, where internal company data needs to be protected. The SPEAKER platform therefore addresses the issues of data and technology sovereignty in this important emerging field of human-machine communication. Requirements were also identified with respect to domain-specific customizability, flexibility in the choice and use of modules, open interfaces to databases and applications, multilinguality, paralinguistics (e.g. recognizing emotions in voices) and participation and development of a user community. In parallel with the survey of requirements, current market research predicting strong growth in the voice assistant market was evaluated. On average, a 25 percent annual increase in devices with voice assistant functions is expected in the next four years.

The SPEAKER platform’s aim is to provide open, transparent and secure voice assistant applications. To achieve this, leading technologies for audio preprocessing, speech recognition, natural-language understanding (NLU), question answering (QA), dialogue management and speech synthesis by means of artificial intelligence (AI), and machine learning must be made available for simple, uncomplicated use. These key modules will be used to develop industrial voice assistant applications that, in turn, can be made available to other market players via the platform in the form of ready-made skills.

Im Vergleich zu bestehenden Sprachassistenzumgebungen (Alexa, Google Assistant) sind folgende wichtigen Eigenschaften gewährleistet und hervorgehoben: Modularität, Datenschutz und Privacy, Offenheit hinsichtlich Technologien, Vernetzung und Verbreitung durch ein offenes Ökosystem und Innovationsfähigkeit. Außerdem wird Datenvielfalt für B2B-Anwendungen durch die Bereitstellung einer Datenplattform und Einbeziehung von Daten- und Anwendungspartnern ermöglicht. Über die Infrastruktur der SPEAKER-Plattform wird ein Austausch von Daten ermöglicht (Community-Ansatz). Außerdem besteht über internationale Netzwerke (MetaNet, European Language Grid) der Zugang zu zahlreichen Sprachkorpora. Die SPEAKER-Plattform wird industrielle Skalierungsmechanismen (z.B. Docker, Kubernetes, Redis) nutzen. Hierzu arbeitet SPEAKER mit dem deutschen Unternehmen Cloud&Heat zusammen. Diese Kooperation ermöglicht uns neben der Gewährleistung von Skalierbarkeit auch Datensicherheit nach DSGVO-Grundsätzen sicherzustellen. Nach Übergabe der Plattform an die Betreibergesellschaft, wird der öffentliche Start der Plattform eine frühzeitige Etablierung der Plattform ermöglichen und so SPEAKER nachhaltig aufstellen. SPEAKER wird zu vergleichbaren Kosten wie etablierte Plattformen angeboten werden und sich vor allem auf B2B-Anwendungen fokussieren.

back to top

Consortium managers

collaborative partners

Collaborative partners, also called consortium partners, who have agreed to define a use case and implement it together with the SPEAKER consortium.

Associated partners

Companies, associations, municipalities or other organizations that do not apply for funding can be included as associated partners in the project network and thus benefit from free access to the SPEAKER platform during the implementation phase.


Recent events

Due to the current COVID-19 pandemic, no face-to-face events are currently planned. If you register for our Infomail service, we will be happy to keep you informed about upcoming events (virtual or analog).

Passed events

Hub.Berlin on 18. and 19.04.2021 in Berlin

FachseminarSmart Living – intelligent, vernetzt, energieeffizient
on 16. and 17.09.2020 in Nürnberg

Hannover Messe 2020 from 13.07. to 27.07.2020 in Hannover

1st International Workshop on Language Technology Platforms (IWLTP 2020)
on 16.05.2020 in Marseille

Voice Connected Business on 14. and 15.05.2020 in Frankfurt

Start of the implementation phase of the SPEAKER Project on 01.04.2020

ITG-FachgruppentreffenSignalverarbeitung und maschinelles Lernen
on 06.03.2020 in Sankt Augustin

ITG Workshop Sprachassistenten on 03.03.2020 in Magdeburg

Submission of the overall project description on 15.10.2019

Opening Ceremony Forum Digitale Technologien & Announcement of the winners of the
on 19.09.2019 in Berlin

lecture series at Fraunhofer IIS about Natural Language Processing with Dr. Xin Wang
on 13.09.2019 in Erlangen

Submission of the implementation concept for the implementation phase 16.08.2019

Project intern workshops

07.04.2020 Projekt Kick-Off

30.07.2020 Voice UX Workshop

08.10.2020 1st Milestone Meeting

13.11.2020 Data Annotation Workshop

26.11.2020 Plattform Workshop

09.12.2020 Model workshop for speech recognition

23.02.2021 Wikispeech-Workshop

04.03.2021 Workshop Dialogmanager, Dialogeditor und NLU

16.03.2021 Multimodality Workshop

18.03.2021 Workshop Text-to-Speech

15.04.2021 2nd Milestone Meeting

sponsores, promoter, collaborative partners | collaborative- and associated partners | collaborative partners


WoS - Open Source Wizard of Oz for Speech Systems

B. Brüggemeier & P. Lalone:  IUI Proceedings, 2019

A Comparison of Recent Neural Vocoders for Speech Signal Reconstruction

P. Govalkar, J. Fischer, F. Zalkow & C. Dittmar:  ISCA SSW Proceedings, 2019

Segmenting multi-intent queries for spoken language understanding

R. Shet, E. Davcheva & C. Uhle: ESSV Proceedings, 2019

Privacy in Speech Interfaces

T. Bäckström, B. Brüggemeier & J. Fischer: ITG News, 2020 (not available online)

User Experience of Alexa, Siri and Google Assistant when controlling music – comparison of four questionnaires

B. Brüggemeier, M. Breiter, M. Kurz & J. Schiwy: HCII 2020 – Late Breaking Papers Springer LNCS Proceedings, Copenhagen, Denmark, 2020 (nicht frei verfügbar)

User Experience of Alexa when controlling music – comparison of face and construct validity of four questionnaires

B. Brüggemeier, M. Breiter, M. Kurz & J. Schiwy: 2nd Conference on Conversational User Interfaces (CUI 2020), Bilbao, Spain, 2020

Development of a leading language assistance platform

B. Brüggemeier, J. Fischer, D. Laqua, C. Möller, R. Usbeck, K. Wagener, H. Wedig, P. Theile, D. Steinigen & C. Dittmar: Schlussbericht zum Vorhaben SPEAKER, 2020 (not available online)

Message Passing for Hyper-Relational Knowledge Graphs

M. Galkin, P. Trivedi, G. Maheshwari, R. Usbeck & J. Lehmann:  2020

Language Model Transformers as Evaluators for Open-domain Dialogues

R. Nedelchev, J. Lehmann & R. Usbeck: Proceedings of the 28th International Conference on Computational Linguistics, pages 6797–6808, Barcelona, Spain (Online), 2020. International Committee on Computational Linguistics

Towards an interoperable ecosystem of AI and LT platforms: A roadmap for the implementation of different levels of interoperability

G. Rehm, D. Galanis, P. Labropoulou, S. Piperidis, M. Welß, R. Usbeck, J. Köhler, M. Deligiannis, K. Gkirtzou, J. Fischer, C. Chiarcos, N. Feldhus, J. Moreno Schneider, F. Kintzel, E. Montiel-Ponsoda, V. Rodríguez-Doncel, J. Philip McCrae, D. Laqua, I. P. Theile, C. Dittmar, K. Bontcheva, I. Roberts, A. Vasiljevs & A. Lagzdins: G. Rehm, K. Bontcheva, K. Choukri, J. Hajic, S. Piperidis, and A. Vasiljevs [editors]: Proceedings of the 1st International Workshop on Language Technology Platforms, IWLTP@LREC 2020, Marseille, France, 2020, pages 96–107. European Language Resources Association, 2020

User Preference and Categories for Error Responses in Conversational User Interfaces

S. Yuan, B. Brüggemeier, S. Hillmann & T. Michael: 2nd Conference on Conversational User Interfaces (CUI 2020), Bilbao, Spain, 2020 (Registrierung notwendig)

Crowdsourcing Ecologically-Valid Dialogue Data for German

Y. Frommherz and A. Zarcone: Frontiers in Computer Science 2021

New Domain, Major Effort? How Much Data is Necessary to Adapt a Temporal Tagger to the Voice Assistant Domain

T. Alam, A. Zarcone and S. Padó: Proceedings of the 14th International Conference on Computational Semantics (IWCS), June 2021, Groningen, The Netherlands (online), Association for Computational Linguistics

Would you like to become an associated partner
or do you have questions regarding this project


Feel free to contact me directly by phone
or use one of the other contact options:

E-Mail: johannes.fischer@iis.fraunhofer.de or speaker@iais.fraunhofer.de

Johannes Fischer

Fraunhofer IIS
+49 (0) 9131 / 776 – 6297

Registration for the Infomail-Service of the SPEAKER Projects

In our infomail we would like to inform you at irregular intervals about current topics, backgrounds and events in connection with the SPEAKER project. By submitting this form, you agree that the data you provide will be collected by the two consortium partners, Fraunhofer IIS and Fraunhofer IAIS, used exclusively for sending the SPEAKER Infomail and not passed on to third parties.
You can object to the use of your data at any time by sending an email to: amm-info@iis.fraunhofer.de widersprechen.

Bitte füllen Sie das Pflichtfeld aus.

Bitte füllen Sie das Pflichtfeld aus.
Bitte füllen Sie das Pflichtfeld aus.
Bitte füllen Sie das Pflichtfeld aus.
Bitte füllen Sie das Pflichtfeld aus.



©BooblGum – stock.adobe.com