Project description
A new ‘Google’ search for podcasts
Podcasts have exploded in popularity. Fitting perfectly into people’s busy lives, these audio recordings are a mode of entertainment and information. There are currently more than 700 000 active podcasts and over 30 million podcast episodes available on the internet. The problem is the lack of effective methods for searching (using keywords or more complex searchers) and finding podcasts based on specific interests. The EU-funded MIXTAPE project wants to solve the problem of podcast discovery. Using machine learning and data analysis techniques, it is providing the first advanced search service. By searching for content that matches their interest, listeners will be able to create podcast mixtapes. The project’s goal is to become a reference search engine for podcasts.
Objective
Podcasts have seen in the recent years a steady increase in numbers, both in terms of listeners and content providers. In spite of their increasing popularity there are currently no effective ways of finding podcasts based on specific interests (i.e. keywords or more complex queries) and we understand that now is the right moment to innovate this area.
With this proposal and the work to be done by the Innovation Associate (IA) we want to solve the problem of podcast discovery by providing the first advanced search service for podcast content that leverages the state of the art machine learning and data analysis techniques in order to analyse and index podcast content. In this way we enable for the first time the listeners to find and discover the content that matches their topic of interest and allow them to create Podcast Mixtapes for the different situations (similar to traditional cassette mixtapes). Our ambition is to become the reference search engine for podcasts (i.e the “Google” for podcasts).
The IA that will develop further our company’s content analysis capabilities and include speech processing and natural language understanding in our content platform with a dedicated application use case around search of podcast content. These are key enabling technologies for future media-rich applications, like the ones developed by our company and therefore we need an experienced researcher in this field to trigger the next generation of product innovation on our side. The IA will also be at the core of the exploration of the innovation idea, guiding it as an innovation project towards an exploitable market product.
The company is able to provide the IA with training in the area of web software development and operations (DevOps), a very sought after skill in the labour market. Moreover, by working with an innovation driven SME, the IA will gain very valuable insights into business aspects and commercial innovation management.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- social sciences economics and business business and management innovation management
- natural sciences computer and information sciences software software development
- social sciences economics and business business and management employment
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.2.3.2.2. - Enhancing the innovation capacity of SMEs
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
CSA - Coordination and support action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-INNOSUP-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
88131 LINDAU BODENSEE
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.