Core technology across all three projects — LISTEN (voice interfaces), TENSOR (content analysis), and TAPAS (pathological speech).
EML SPEECH TECHNOLOGY GMBH
German SME specializing in automatic speech recognition for smart environments, security content analysis, and clinical speech assessment.
Their core work
EML Speech Technology is a Heidelberg-based SME specializing in automatic speech recognition, voice interfaces, and speech processing systems. They develop technology for real-world applications including smart home voice control, security-related content analysis, and clinical speech assessment tools. Their work spans from consumer-facing voice-enabled applications to specialized medical speech therapy support, making them a versatile speech technology provider with both commercial and research-driven capabilities.
What they specialise in
LISTEN project focused on hands-free voice-enabled interfaces for smart home environments using acoustic sensor networks.
TAPAS training network on automatic processing of pathological speech, covering speech assessment, therapy, and assisted living applications.
TENSOR project applied speech and content analysis to retrieval and recognition of terrorist activity from heterogeneous online content.
How they've shifted over time
EML's early H2020 work (2015-2016) centered on consumer-oriented speech technology — acoustic sensor networks and voice interfaces for smart home environments. By 2017, their focus shifted toward healthcare and clinical applications, joining the TAPAS training network on pathological speech processing, speech therapy support, and assisted living. This pivot from consumer convenience to medical speech assessment suggests a deliberate move toward higher-value, specialized applications of their core speech recognition expertise.
EML is moving from general-purpose voice technology toward healthcare speech applications — a partner seeking speech assessment or assistive technology expertise should find them increasingly relevant.
How they like to work
EML has never coordinated an H2020 project, consistently joining as a participant or third-party contributor — typical for a specialized SME that provides focused technical components rather than managing large consortia. Despite their small size, they have worked with 41 unique partners across 11 countries, indicating openness to diverse international collaborations. Their participation in both Marie Skłodowska-Curie networks and an Innovation Action shows they engage in both training/research and applied development contexts.
For a small SME, EML has a surprisingly broad network of 41 consortium partners across 11 countries, built through participation in large MSCA networks and a security-focused Innovation Action. Their reach is solidly European with no particular geographic concentration.
What sets them apart
EML combines deep speech recognition expertise with an unusual range of application domains — from smart homes to security to clinical speech therapy. Few SMEs can offer speech technology experience that spans both consumer voice interfaces and medical pathological speech assessment. For consortium builders, they bring a rare combination: a private company's implementation focus with research network credibility from two MSCA projects.
Highlights from their portfolio
- TAPASTraining network on pathological speech processing — signals EML's strategic move into healthcare speech technology and assisted living, a high-growth application area.
- TENSORApplied speech and content analysis technology to counter-terrorism — demonstrates the versatility of EML's core technology in security-sensitive contexts with EUR 164,675 in funding (their largest grant).