The Best 49 Text-to-Audio Tools in 2025

Phi-4-multimodal-instruct is a lightweight open-source multimodal foundation model that integrates language, vision, and speech research data from Phi-3.5 and 4.0 models. It supports text, image, and audio inputs to generate text outputs, with a context length of 128K tokens.

Ultravox is a multimodal voice large language model based on Llama3.2-1B and Whisper-large-v3, capable of processing both voice and text inputs.

SeamlessM4T v2 is a large-scale multilingual multimodal machine translation model released by Facebook, supporting speech and text translation for nearly 100 languages.

Ultravox is a multimodal speech large language model built upon Llama3.1-8B-Instruct and Whisper-small, capable of processing both speech and text inputs.

Ultravox is a multimodal voice large language model built on Llama3.1-8B-Instruct and whisper-large-v3-turbo, capable of processing both voice and text inputs.

SeamlessM4T is a multilingual translation model that supports both speech and text input/output, enabling cross-language communication.

A compact and efficient speech-language model designed for Automatic Speech Recognition (ASR) and Automatic Speech Translation (AST), featuring a two-stage design for processing audio and text

Voila is a large-scale voice-language foundation model series designed to enhance human-computer interaction, supporting multiple audio tasks and languages.

SeamlessM4T is a unified model supporting multilingual speech and text translation, capable of performing speech-to-speech, speech-to-text, text-to-speech, and text-to-text translation tasks.

The int4 quantized version of MiniCPM-o 2.6, significantly reducing GPU VRAM usage while supporting multimodal processing capabilities.

A speech-to-text large language model customized for Singapore's multilingual and multicultural environment, integrating Whisper-large-v2 speech encoder and SEA-LION V3 text decoder

DiVA Llama 3 is an end-to-end voice assistant model capable of processing both speech and text inputs, trained using distillation loss.

Voila is a brand-new large-scale speech-language foundation model series designed to elevate human-computer interaction to unprecedented levels.

Riffusion is a real-time music generation application based on Stable Diffusion technology, capable of generating spectrograms from text input and converting them into audio clips.

AudioX is a unified diffusion transformer model capable of generating audio and music from arbitrary content. It produces high-quality general audio and musical compositions, offers flexible natural language control, and seamlessly handles multimodal inputs.

EMOVA Speech Tokenizer is a discrete speech tokenizer supporting both English and Chinese, featuring semantic-acoustic decoupling design and flexible speech style control.

Typhoon 2-Audio Edition is an end-to-end speech-to-speech model architecture capable of processing audio, speech, and text inputs while simultaneously generating both text and speech outputs. The model is specifically optimized for Thai language while also supporting English.

Ultravox is a multimodal large speech language model that can process both speech and text inputs simultaneously, providing strong support for speech interaction scenarios.

A multimodal language model based on Llama-3 architecture, supporting audio and text input understanding with noise robustness and multi-turn dialogue capabilities

This is a text-to-audio grounding model capable of predicting the probability of specific sound events occurring in audio segments.

A text-conditioned symbolic music generation model based on BART-base architecture that can generate ABC notation scores from natural language descriptions

A Korean automatic speech recognition (ASR) and speech translation (AST) model fine-tuned based on microsoft/Phi-4-multimodal-instruct, demonstrating excellent performance on the zeroth-korean and fleurs datasets.

Voila is a large family of speech-language foundation models designed to enhance human-computer interaction, supporting real-time, low-latency voice interaction and multilingual processing.

Weighted/matrix quantized model of Qwen2-Audio-7B-Instruct, supporting English audio-to-text transcription tasks

SpeechLLM is a multimodal large language model trained to predict speaker turn metadata in conversations, including speech activity, transcribed text, speaker gender, age, accent, and emotion.

Ultravox is a multimodal speech large language model, built upon the pre-trained Llama3.1-70B-Instruct and whisper-large-v3-turbo backbones, capable of receiving both speech and text as inputs.

Ultravox is a large multimodal speech language model that combines a pre-trained large language model and a speech encoder, capable of handling both speech and text inputs.

Voila is a large family of speech-language foundation models designed to enhance human-computer interaction, supporting real-time, low-latency voice interaction and multilingual processing.

Mustango is a novel multimodal large language model specifically designed for controllable music generation, combining Latent Diffusion Model (LDM), Flan-T5, and music features to achieve high-quality text-to-music generation.

A language model based on InternLM2, specifically designed for generating lyrics and melodies in song composition.

Gazelle v0.2 is a joint speech-language model released by Tincans, supporting English.

This model is a fine-tuned speech-language model based on Llama-3.2-3B, focusing on analyzing the scalability of interleaved speech-text SLM and supporting speech and text generation tasks.

A speech-language model based on Qwen2.5-7B extension, supporting speech-text interleaved training and cross-modal generation

SpeechGPT is a large language model with intrinsic cross-modal dialogue capabilities, capable of perceiving and generating multimodal content, supporting interaction via speech and text.

This is a Riffusion model fine-tuned on the google/MusicCaps dataset, capable of generating music or music-related images based on text prompts.

A multimodal language model based on the Llama-3 architecture, supporting audio and text input comprehension with enhanced robustness in noisy environments and multi-turn conversation capabilities.

Ichigo-llama3s is a large language model series that supports both audio and text input, focusing on enhancing speech understanding capabilities and user interaction experience.

SpeechLLM is a multimodal large language model designed to predict speaker turn metadata in conversations, including speech activity, transcribed text, gender, age, accent, and emotion.

SeamlessM4T is a large-scale multilingual multimodal machine translation model supporting speech and text translation in nearly 100 languages.

SpeechGPT is a large language model with intrinsic cross-modal dialogue capabilities, capable of perceiving and generating multimodal content based on human instructions.

Ultravox is a multimodal speech large language model capable of receiving both speech and text as input, supporting multiple languages and tasks.

This is a hybrid model created by merging a text generation model and a music generation model, capable of handling both text and music generation tasks.