Search Results for author:
Found 16 papers, 10 papers with code
Breeze-7B Technical Report
Breeze-7B is an open-source language model based on Mistral-7B, designed to address the need for improved language comprehension and chatbot-oriented capabilities in Traditional Chinese.
Low-Resource Self-Supervised Learning with SSL-Enhanced TTS
Self-supervised learning (SSL) techniques have achieved remarkable results in various speech processing tasks.
Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite
In an effort to advance the evaluation of language models in Traditional Chinese and stimulate further research in this field, we have open-sourced our benchmark and opened the model for trial.
Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI
Terahertz (THz) communication with ultra-wide available spectrum is a promising technique that can achieve the stringent requirement of high data rate in the next-generation wireless networks, yet its severe propagation attenuation significantly hinders its implementation in practice.
Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results
In this paper we present the multilingual language model BLOOM-zh that features enhanced support for Traditional Chinese.
Learning Phone Recognition from Unpaired Audio and Phone Sequences Based on Generative Adversarial Network
GAN training is adopted in the first stage to find the mapping relationship between unpaired speech and phone sequence.
STOP: A dataset for Spoken Task Oriented Semantic Parsing
Furthermore, in addition to the human-recorded audio, we are releasing a TTS-generated version to benchmark the performance for low-resource domain adaptation of end-to-end SLU systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Silence is Sweeter Than Speech: Self-Supervised Model Using Silence to Store Speaker Information
We found that HuBERT stores speaker information in representations whose positions correspond to silences in a waveform.
Universal Adaptor: Converting Mel-Spectrograms Between Different Configurations for Speech Synthesis
Most recent speech synthesis systems are composed of a synthesizer and a vocoder.
Adversarial Sample Detection for Speaker Verification by Neural Vocoders
We also show that the neural vocoder adopted in the detection framework is dataset-independent.
Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech
The few-shot multi-speaker multi-style voice cloning task is to synthesize utterances with voice and speaking style similar to a reference speaker given only a few reference samples.
WG-WaveNet: Real-Time High-Fidelity Speech Synthesis without GPU
As we design a flow-based model that is heavily compressed, the proposed model requires much less computational resources compared to other waveform generation models during both training and inference time; even though the model is highly compressed, the post-filter maintains the quality of generated waveform.
Speech Synthesis
Text-To-Speech Synthesis
Audio and Speech Processing
Sound
Towards Robust Neural Vocoding for Speech Generation: A Survey
We found out that the speaker variety is much more important for achieving a universal vocoder than the language.
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
We present Mockingjay as a new speech representation learning approach, where bidirectional Transformer encoders are pre-trained on a large amount of unlabeled speech.
Unsupervised End-to-End Learning of Discrete Linguistic Units for Voice Conversion
We found that the proposed encoding method offers automatic extraction of speech content from speaker style, and is sufficient to cover full linguistic content in a given language.
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences
In this way, the length constraint mentioned above is removed to offer rhythm-flexible voice conversion without requiring parallel data.
Sound Audio and Speech Processing
