ElevenLabs, famend for its superior text-to-speech (TTS) expertise, has collaborated with WorkHaven to boost the accessibility of restoration sources for survivors of Home and Household Violence (DFV). Via the Verdella program, this partnership goals to beat language obstacles by providing audio steering in 9 completely different languages, based on ElevenLabs.
Breaking Language Limitations with AI
The Verdella initiative, managed by WorkHaven, gives important assist to DFV survivors, aiding them of their journey in the direction of restoration. Recognizing the challenges posed by language variations, ElevenLabs utilized its cutting-edge voice expertise to supply audio content material for Verdella’s 9 modules. Initially out there in English, these audio information are designed to supply customized steering to individuals, facilitating a extra tailor-made restoration expertise.
Multilingual Enlargement
In a major enlargement effort, Verdella’s audio sources at the moment are out there in eight extra languages: Arabic, Hindi, Korean, Punjabi, Tagalog, Vietnamese, and each Simplified and Conventional Chinese language. This multilingual initiative has been made potential by way of the collaboration with 2M Language Companies, making certain licensed translations that keep the integrity and effectiveness of this system.
Influence on Survivors
This strategic transfer permits a broader viewers to entry Verdella’s sources of their most popular language, probably growing engagement and effectiveness. By providing these sources in a number of languages, ElevenLabs and WorkHaven usually are not solely enhancing accessibility but additionally empowering survivors to navigate their restoration with higher ease and confidence.
The collaboration between ElevenLabs and WorkHaven highlights the transformative energy of AI expertise in addressing societal challenges, significantly in offering essential assist to weak communities. As this system continues to evolve, it units a precedent for a way expertise will be leveraged to bridge gaps in accessibility and assist.
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