Fishaudio
Models by this creator
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fish-speech-1.4
278
fish-speech-1.4 is a leading text-to-speech (TTS) model developed by fishaudio. It is trained on over 700k hours of audio data across multiple languages, including English, Chinese, German, Japanese, French, Spanish, Korean, and Arabic. This makes it one of the most comprehensive multilingual TTS models available. In comparison, earlier versions like fish-speech-1.2 and fish-speech-1 were trained on smaller datasets of 300k and 150k hours respectively, focusing primarily on English, Chinese, and Japanese. Model inputs and outputs fish-speech-1.4 is a text-to-speech model, taking text input and generating high-quality audio output. The model supports a wide range of languages, allowing users to generate speech in their language of choice. Inputs Text in one of the supported languages: English, Chinese, German, Japanese, French, Spanish, Korean, or Arabic Outputs Synthesized audio in the corresponding language Capabilities fish-speech-1.4 is capable of generating highly natural-sounding speech across multiple languages. The model leverages extensive training data and advanced deep learning techniques to produce realistic intonation, rhythm, and timbre. This makes it suitable for a variety of applications, from text-to-speech assistants to audio book narration. What can I use it for? fish-speech-1.4 can be used in a wide range of applications that require text-to-speech functionality. This includes virtual assistants, audiobook creation, language learning tools, and multimedia content production. The model's multilingual capabilities make it particularly useful for reaching global audiences or creating content in multiple languages. Things to try One interesting aspect of fish-speech-1.4 is its ability to handle code-switching between languages. This means the model can generate speech that seamlessly transitions between different languages within the same audio, which can be useful for content creators working with multilingual audiences. Experimenting with this feature can lead to unique and engaging audio experiences.
Updated 9/17/2024
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fish-speech-1.2
194
fish-speech-1.2 is a leading text-to-speech (TTS) model developed by fishaudio. It is trained on 300k hours of English, Chinese, and Japanese audio data, making it a powerful multi-lingual TTS model. The model is an improvement over the earlier Fish Speech V1 model, which was trained on 150k hours of data. Other similar models include SALMONN and Tortoise TTS. Model inputs and outputs The fish-speech-1.2 model takes in text as input and generates corresponding audio as output. This allows users to convert written content into high-quality speech in multiple languages. Inputs Text**: The model accepts text input in English, Chinese, or Japanese. Outputs Audio**: The model generates an audio waveform corresponding to the input text. The audio is output at a sample rate of 16kHz. Capabilities The fish-speech-1.2 model is capable of generating highly natural-sounding speech in three different languages: English, Chinese, and Japanese. This makes it a versatile tool for applications that require multi-lingual text-to-speech capabilities, such as voice assistants, audiobook narration, and language learning tools. What can I use it for? The fish-speech-1.2 model can be used in a variety of applications that require text-to-speech functionality. Some potential use cases include: Voice assistants**: The model can be used to power the speech output of virtual assistants, providing users with a more natural and engaging experience. Audiobook narration**: The model can be used to convert written books into high-quality audio formats, making them accessible to a wider audience. Language learning**: The model's multi-lingual capabilities can be leveraged to create interactive language learning materials, helping students improve their listening and pronunciation skills. Accessibility**: The model can be used to make written content more accessible to individuals with visual impairments or reading difficulties. Things to try One interesting aspect of the fish-speech-1.2 model is its ability to generate speech in multiple languages. This opens up the possibility of creating multilingual applications or content that can reach a wider global audience. For example, you could try using the model to create a virtual assistant that can respond in the user's preferred language, or to generate audiobooks that are narrated in several different languages. Another interesting avenue to explore would be the model's potential for creative applications, such as generating synthetic voice performances for video games, films, or music. The high-quality and natural-sounding speech output of fish-speech-1.2 could be used to bring digital characters and narratives to life in new and engaging ways.
Updated 8/7/2024
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fish-speech-1
71
fish-speech-1 is a leading text-to-speech (TTS) model developed by fishaudio. It was trained on 150k hours of audio data in English, Chinese, and Japanese, making it a multilingual TTS model. The model is similar to other state-of-the-art TTS models like SpeechT5 and WhisperSpeech, which leverage large-scale speech and text data to learn a unified representation for high-quality speech synthesis. Model inputs and outputs Inputs Text in one of the supported languages (English, Chinese, or Japanese) Outputs High-quality synthesized audio in the corresponding language Capabilities fish-speech-1 can generate natural-sounding speech from text input across multiple languages. This makes it a powerful tool for applications that require text-to-speech functionality, such as voice assistants, audiobook narration, and language learning platforms. What can I use it for? You can use fish-speech-1 to add high-quality text-to-speech capabilities to your applications. For example, you could integrate it into a voice assistant to allow users to interact with your service through spoken commands and responses. Another potential use case is generating audiobook versions of written content, providing an accessible and engaging way for users to consume information. The model's multilingual support also makes it suitable for language learning apps, where students can practice their skills by listening to speech in the target language. Things to try One interesting thing to try with fish-speech-1 is to experiment with the model's ability to generate speech in different languages. You could, for instance, create a multilingual virtual assistant that can seamlessly switch between languages based on user input. Another idea is to use the model to create personalized audio content, such as generating audio versions of written materials with a specific speaker's voice.
Updated 6/17/2024