Dualtexttospeech

Dualtexttospeech is a text-to-speech capability that generates two audio outputs from a single text input. It supports dual-language playback, dual-voice playback, or dual-voice with distinct prosody, enabling scenarios where parallel narration or bilingual content is required. The approach is used to improve accessibility, language learning, and media localization.

Implementation typically involves either two separate TTS pipelines running in parallel or a single pipeline with multiple voice models. The system must coordinate text normalization, pronunciation, and timing to maintain synchronization across streams. In bilingual use, each stream uses its own language model and phoneme set, with alignment strategies to keep audio synchronized with the source text and with each other. In two-voice uses, distinct voice models or vocoders are employed, potentially sharing the front-end analysis to ensure consistent text understanding.

Common applications include bilingual audiobooks, instructional content for language learners, simultaneous dubbing for multimedia, and assistive technologies for users who benefit from dual-channel output. It can also support character-differentiated narration in interactive media and virtual assistants that present information in two voices.

Key challenges include ensuring phoneme accuracy across languages, maintaining natural prosody for both streams, managing latency, and preventing audio drift between channels. Resource demands are higher, and licensing for multiple voices may apply. User interfaces typically offer language and voice selections, with options for synchronization mode and channel layout.

Future work may involve neural TTS models with cross-voice prosody, improved synchronization, and more scalable support for additional languages and voices.