【语音合成大模型】XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech 在330M条来自100个语种/方言的音素序列上预训练BERT-base结构的RoBERTa获得XPhoneBERT,并用预训练的XPhoneBERT替换VITS的编码器,提升合成语音的韵律和自然度,加速模型在低资源条件下的收敛。 方案 模型结...
Now that you have downloaded the data, let’s make sure that the audio clips and sample at the same sampling frequency as the clips used to train the pretrained model. For the course of this notebook, NVIDIA recommends using a model trained on the LJSpeech dataset. The sampling rate for...
Pretrained models Key Features How to Get Started TAO Toolkit Architecture Model Pruning Learning Resources Tutorial Videos Developer blogs Webinars Support Information TAO Toolkit Quick Start Guide Requirements Hardware Requirements Minimum System Configuration Recommended System Configuration Soft...
Text-to-speech is a form of speech synthesis that converts any string of text characters into spoken output.
Spoken language identification (Language ID)See multi-lingualWhisperASR models fromSpeech recognition PunctuationAddress Speaker segmentationAddress Some pre-trained ASR models (Streaming) Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/index.html ...
🐸TTS is a library for advanced Text-to-Speech generation. 🚀 Pretrained models in +1100 languages. 🛠️ Tools for training new models and fine-tuning existing models in any language. 📚 Utilities for dataset analysis and curation. ...
预训练模型 (Pretrained Models)目前文本生成任务的数据集规模都比较小,而模型的参数规模相对比较大,因此容易出现模型泛化能力不足的问题。因此,许多研究者希望利用大规模的无标注数据集预训练模型,这些模型可以为文本生成任务模型提供更好的模型初始化。 第一代预训练模型学习的是静态/无上下文的词向量 (non-contextual...
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP) Workshop at NeurIPS 2024. The pre-training phase of language models often begins with randomly initialized parameters. Wit...
To achieve this, we adopt a text-to-audio (TTA) model based on latent diffusion models and extend its functionality to incorporate an additional content prompt as a conditional input. By utilizing pretrained contrastive language-audio pretraining (CLAP) and Whisper, VoiceLDM is trained on large ...
Model architecture Dependencies Synthesis (inference) Audio samples Training TODO References Chinese mandarin text to speech based on Fastspeech2 and Unet This is a part-time on-going work. 建议先加星收藏,有时间我会随时更新。 updates 加入了儿化音。run: ./scripts/hz_synth.sh 1.0 500000 Checkp...