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Same Speaker Speech to Speech Translation Data (3S2ST)
Translate work meetings, casual phone conversations, TV shows, and much more in real-time while preserving the speaker's voice, tone, rhythm, emotions, and nuances. With LandoSpeech’s 3S2ST data, you're not just enhancing your model capabilities, you're leaping into the future of AI-driven translated communications, where the possibilities are as limitless as the nuances in human speech.
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Currently, there is not enough non-synthetic speech-to-speech translation data available that caters to the needs of end-to-end model training. Our 3S2ST datasets fill this critical gap by providing over 1000 hours of recorded speech for several language pairs. It’s a unique resource that pioneers uncharted territory in linguistic technology. It not only enables new advancements in speech-to-speech applications but also sets a standard for future innovations.
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Our 3S2ST datasets are groundbreaking in their approach to maintaining the unique vocal characteristics of a single speaker across translations. Having the same speakers ensures that the speaker’s nuances are preserved, offering a consistent user experience that enhances the naturalness and personalization of speech applications. This feature is pivotal for creating more engaging and user-centric speech technologies.
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Live meeting speech translation is a higly desired feature, yet datasets are scarce. At Landospeech, we've amassed and labeled extensive meeting data across languages, enabling your business to offer high-quality live translation services.
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For each language, our dataset includes a wide range of speakers and levels of bilingualism. This extensive collection allows for training robust models that can understand and generate speech across diverse linguistic landscapes. Each entry in our 3S2ST datasets is accompanied by detailed metadata, which includes information about the speaker, the nature of the spoken texts, and the recording environment. This metadata not only enriches the data but also provides researchers and developers with deeper insights into the usage contexts and characteristics of the recordings. Enhanced metadata supports improved accuracy and adaptability in speech translation technologies.
Current speech-to-speech translation models are a significant step away from achieving the fluidity of natural human conversations. Cascaded models, which combine speech recognition, machine translation, and text-to-speech, do not deliver human-like expressiveness. Meanwhile, the promising potential of end-to-end models is hindered by a lack of high-quality training data.
Our 3S2ST solution addresses this challenge by providing thousands of hours of labeled speech-to-speech translation data. Each audio pair is delivered by the same speakers, pronounced with the same expressions, and recorded under identical conditions.
These game-changing datasets are more than just recordings: they provide pathways to unparalleled accuracy and human-like authenticity in voice translation technologies. Unlock real-time translation capabilities: Landospeech enables seamless meeting and conversation translations with speaker voice preservation.
multilingual speech recognition for conversations and meetings
Enhancing Multilingual ASR
Enhance your speech recognition systems with high-quality, diverse datasets from Landospeech. We have datasets for complex meeting scenarios complete with precise timestamps for each speaker. Landospeech also offers transcriptions of casual phone conversations in many language and accent. Our expansive ASR data sets the foundation for overcoming the toughest challenges in robust speech recognition, enabling your technology to accurately process any speech scenario. With thousands of hours of speech data in many languages, we provide the essential resources you need to build powerful multilingual models from scratch.
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Our dataset encompasses thousands of hours of recorded meeting scenarios, featuring two to six speakers across various recording types. This type of data is exceedingly rare in the market, yet it is crucial for transcribing meetings in any professional field, including medicine, finance, and more. With Landospeech's rich and diverse datasets, you can train your models to achieve highly accurate meeting transcriptions.
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Transcribing phone calls and casual conversations presents significant challenges. Landospeech data, recorded in real-life conversational scenarios, empowers the training of robust models for conversation transcription. Our datasets include both long-form conversations and their segmented versions, facilitating the development of models that are resilient to variations in dialogue length.
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At Landospeech, our expertise spans a diverse array of interactions—from meetings and conversations to phone calls and talks—encompassing various topics, speech rates, rhythms, emotions, and prosodies. Our speakers represent a wide spectrum of ages, accents, and social backgrounds. This diversity empowers your ASR models to accurately transcribe speech in any given scenario.
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While transcribing read speech has become a routine task in high-resource languages like English, Spanish, or French, meeting and conversational ASR still grapples with a shortage of extensive datasets for training models on these intricate tasks. Landospeech has meticulously collected and labeled thousands of hours of diverse speech types across multiple languages. Scaling your data for meeting and conversational ASR is paramount to maintaining competitiveness in this domain.
Others solutions
Affordable Human Labeling
Accurate human labeling of speech audios is essential for achieving optimal performance. However, labeling meetings, phone conversations, medical reports, and other speech data can be a challenging task across various languages. At Landospeech, we offer human labeling services for all types of speech in any language, at low cost.
text to speech solutions
Voice cloning and dubbing technologies are advancing rapidly, requiring large amounts of high-quality text-to-speech recordings with accurate labels. At Landospeech, we provide affordable, high-quality text-to-speech data paired with precise transcriptions.