Advancements in Text-to-Speech Data: Redefining Human-Machine Interaction

Text-to-Speech (TTS) technology has undergone remarkable advancements, revolutionizing voice communication between humans and machines. Its impact spans various domains, from voice assistants to smart homes, seamlessly integrating into our daily routines. Notably, the recent ChatGPT update introduces a groundbreaking feature - voice conversation functionality, enabling users to engage in real-time conversations with synthesized voices, mimicking natural phone dialogues with instant responses.

 

As TTS technology becomes increasingly integral to our lives, there arises a heightened demand for emotional expressiveness and personalization in machine interactions. Nexdata, in response to this demand, has significantly enhanced its capabilities in personalized voice synthesis, catering to diverse applications such as virtual assistants, voice readings, videos, and customer service.

 

I. Pioneering Multimodal AI Data Collection

 

Nexdata's recent breakthrough lies in multimodal voice synthesis, seamlessly blending audio and video perception through facial capture technology. Leveraging their extensive expertise in audio-visual data annotation and collection, coupled with a sophisticated synthesis system, Nexdata has developed a dataset that integrates voice and visual cues. This synchronized AI data service, involving multiple participants, ensures precise alignment, thereby enhancing emotional expressiveness through facial expressions. Consequently, the synthesized voices authentically replicate natural dialogues.

 

II. Abundant Resources

 

Nexdata boasts a wealth of resources, including a diverse pool of professional actors and models cultivated over years of TTS annotation services. These individuals excel in script delivery, possessing exceptional vocal and facial expression skills, thus ensuring the generation of high-quality data. Additionally, Nexdata employs professional condenser microphones that support multi-channel synchronous multimodal data annotation services, ensuring diversity in collection across various scenarios, ages, and shooting angles.

 

III. Expanding Voice Library

 

In addition to single-person voice libraries, Nexdata introduces a multi-person average model library, which enhances voice coverage for improved personalization during voice synthesis training.

 

IV. Innovations in Music Data Collection

 

Nexdata's TTS processing capabilities seamlessly integrate musical and language-related information into unified formats, streamlining annotation by extracting key musical elements like pitch and style. Annotation capabilities have expanded to encompass singing styles, refining vocal data processing.

 

V. Personalized Collection Capabilities

 

Equipped with a professional TTS recording studio and an extensive library of finished data resources, Nexdata offers personalized voice libraries catering to various tones, roles, and languages, thereby meeting diverse needs such as authoritative, friendly, or casual tones.

 

VI. Scene Restoration Collection Capabilities

 

Nexdata's dialogue-based TTS AI data annotation services include real-life imitations of interview and customer service scenarios conducted in a professional studio, achieving natural dialogue collection methods for authentic voice reproduction.

 

VII. Professional Oversight

 

Every TTS project at Nexdata undergoes scrutiny by professional listening personnel, ensuring recording quality and maintaining high data control standards.

 

In Conclusion

 

In an era characterized by rapid model development, TTS technology remains pivotal in enhancing the user experience. Nexdata's comprehensive system ensures the quality and security of TTS datasets, addressing diverse demands for vocal image creation through professional equipment, abundant voice samples, and extensive project experience.