SpeechSSM model that generates natural speech for up to 16 minutes

 

Introduction

 In the era of modern technology, artificial intelligence has come to play a major role in improving the experience of users in various fields.The SpeechSSM model is one such development that has revolutionized the field of speech generation, as it can generate natural speech of up to 16 minutes. In this article, we will discuss the details of this model and how it works.

SpeechSSM model that generates natural speech for up to 16 minutes

SpeechSSM

The SpeechSSM model is a pioneering step in artificial intelligence technology that generates sounds, and was developed within a research project published on the arXive platform  by researcher Se Jin Park from South Korea and is scheduled to be presented through the International Machine Learning Conference 2025.

"Traditional phonological linguistic models were limited in their ability to generate long-term content, and our goal was to develop a model that could support real human use by generating long and coordinated speech," the researcher said. “ We believe this achievement will contribute to the development of voice content domains and AI applications such as voice assistants by improving consistency in content and the ability of models to interact efficiently and quickly in real time,” she said.

Making the SpeechSSM Model

The SpeechSSM model generates synthetic speech but sounds natural and continuous without time constraints such as producing long audio content required by audiobooks, interactive apps, and podcasts.

SpeechSSM features

1. The SpeechSSM model is based on a hybrid structure that combines layers of attention focused on recent information with iterative layers that allow the full context of the text or conversation to be remembered.
2. The SpeechSSM model addresses infinite speech sequences by dividing data into fixed and short time units and independently analyzing and then combining each one, in order to produce long, coherent speech without losing the overall thread or deviating from the topic.
3. The ability to learn human speech directly without the need to convert it to text and produce high-quality speech quickly, and also significantly speeds up the generation process without sacrificing sound quality.
4. The SpeechSSM model allows the production of multiple syllables at once through a non-sequential voice synthesis model called"Non-Autoregressive" and also the ability to generate speech up to 16 minutes by the researcher creating a new dataset under the name "LibriSpeech-Long" unlike traditional models that build sound word by word or letter by letter, and also generate short syllables that do not exceed 10 seconds.
5. It was clear from the assessments that the speech generated by the SpeechSSM model maintains the characters and events mentioned at the beginning of the content and also adds new characters and information in a natural and consistent way even if long-term speech is generated, which represents a qualitative leap compared to previous models that tended to repeat or lose the topic over time.
6. SpeechSSM significantly reduces the consumption of computational resources and memory, which makes it more stable and efficient.

In the end, it can be said that the SpeechSSM model represents a big step towards improving users' experience in the field of natural speech generation, thanks to its ability to generate long and varied speech, this model can be used in a wide range of applications, opening up new horizons for innovation and development. We look forward to seeing how this model will be used in the future and how it will contribute to improving the user experience.

I hope you have benefited from this article. The article was written based on information from asharq.

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