Neural Codec Language Model
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Neural Codec Language Model
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A Neural Codec Language Model VALL E Can Reproduce A Voice From A
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XTTS A Massively Multilingual Zero Shot Text to Speech Model
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CLaM TTS Improving Neural Codec Language Model For Zero Shot Text to
CLaM TTS Improving Neural Codec Language Model For Zero Shot Text to
 synthesis. Despite the ongoing rush towards scaling paradigms%2C audio tokenization ironically amplifies the scalability challenge%2C stemming from its long sequence length and the complexity of modelling the multiple sequences. To mitigate these issues%2C we present CLaM-TTS that employs a probabilistic residual vector quantization to (1) achieve superior compression in the token length%2C and (2) allow a language model to generate multiple tokens at once%2C thereby eliminating the need for cascaded modeling to handle the number of token streams. Our experimental results demonstrate that CLaM-TTS is better than or comparable to state-of-the-art neural codec-based TTS models regarding naturalness%2C intelligibility%2C speaker similarity%2C and inference speed. In addition%2C we examine the impact of the pretraining extent of the language models and their text tokenization strategies on performances. "CLaM TTS Improving Neural Codec Language Model For Zero Shot Text to")
CLaM TTS Improving Neural Codec Language Model For Zero Shot Text to
Speaking From Coarse To Fine Improving Neural Codec Language
VoiceCraft A Transformer based Neural Codec Language Model NCLM That
Using ChatGPT To Understand Microsoft s VALL E Neural Codec Language
Personalized Lao Language Synthesis Via Disentangled Neural Codec
Figure 1 From CLaM TTS Improving Neural Codec Language Model For Zero
NLP Demystified 13 Recurrent Neural Networks And Language Models YouTube
Neural Networks 10 6 Natural Language Processing Neural Network