The paper proposes a meta-learning-based Mandarin-Tibetan cross-lingual text-to-speech (TTS) to realize both Mandarin and Tibetan speech synthesis under a unique framework. First, we build two kinds of Tacotron2-based Mandarin-Tibetan cross-lingual b...
Most current research in Tibetan speech synthesis relies primarily on autoregressive models in deep learning. However, these models face challenges such as slow inference, skipped readings, and repetitions. To overcome these issues, we propose an enh...
Cross-lingual voice cloning must preserve the reference voice while following the requested language or dialect. We diagnose reference-side interference in dots.tts across Amdo, U-Tsang, and Kham Tibetan; Mandarin; and English. Across the tested cond...