Top Text-to-Speech Models of 2026: Proprietary vs Open Source Compared

Open source TTS models Kokoro, Orpheus, and Piper are tested on symbols, abbreviations, and prosody with CER and MOS results.
IEEE

Safeguarding the Integrity of Online Social Networks (OSN): Leveraging the Efficacy of Conv-LSTM-Based Siamese Network to Predict Hate Speech in Low Resource Hindi-English Code ...

Abstract: In the era of free speech and rapid internet expansion, curbing the dissemination of offensive content on social media has become a pressing concern for linguists and regulatory bodies. Hate ...
GitHub

Text-to-Speech Benchmark

This repo is a minimalist and extensible framework for benchmarking various aspects of different text-to-speech (TTS) engines. This benchmark simulates user - voice-assistant interactions, by ...
IEEE

Evaluating Large Language Models for G-Code Debugging, Manipulation, and Comprehension

Abstract: 3D printing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D printing depend on the correctness and ...
TechCrunch

Mistral releases a new open source model for speech generation

French AI company Mistral released a new open source text-to-speech model on Thursday that can be used by voice AI assistants or in enterprise use cases like customer support. The model, which lets ...
Microsoft

VALL-E 2: Neural Codec Language Models are Human Parity Zero-Shot Text to Speech Synthesizers

This paper introduces VALL-E 2, the latest advancement in neural codec language models that marks a milestone in zero-shot text-to-speech synthesis (TTS), achieving human parity for the first time.
GitHub

Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching

Small and fast: only 123M parameters. High-quality voice cloning: state-of-the-art performance in speaker similarity, intelligibility, and naturalness. Multi-lingual: support Chinese and English.