Text To Speech Dataset, luganda, runyankore, rukiga, lumasaaba, and

Text To Speech Dataset, luganda, runyankore, rukiga, lumasaaba, and acoli are now included in google's waxal dataset to support african speech technology as part of more than 11,000 hours of speech data collected from 21 Whisper [Blog] [Paper] [Model card] [Colab example] Whisper is a general-purpose speech recognition model. Feb 24, 2025 · Five voices: Mykyta, Oleksa, Lada, Kateryna or Tetiana Join the discussion on this paper page OV-InstructTTS: Towards Open-Vocabulary Instruct Text-to-Speech Browse 19 Zenodo librispeech gtzan esc-50 github dataset AIs. They used for a diverse range of tasks such as translation, automatic speech recognition, and image classification. 1 Introduction Style-prompted text-to-speech models (Guo et al. Some of my favorite TTS datasets, in English or in many other languages ! Jan 15, 2026 · ️ Paper: PersonaPlex Preprint Description: Personaplex is a real-time speech-to-speech conversational model that jointly performs streaming speech understanding and speech generation. Includes tasks such as Summaries, Voice agents, Voice chatting, Text to speech and Voice cloning. VCTK is a dataset specifically designed for text-to-speech research and development. Below, we explore several free resources that offer TTS datasets, each with unique features and benefits to suit different project needs. The model operates on continuous audio encoded with a neural codec and predicts both text tokens and audio tokens autoregressively to produce its spoken responses. Understanding TTS Datasets At its core, a TTS dataset is a collection of audio recordings paired with text transcriptions, used to train TTS models Nexdata provides trusted speech recognition, computer vision, and natural language understanding data for AI training. To perform speech translation, where the target text is in English, set the task to "translate": 1 day ago · Google launches WAXAL open-source African language voice database Dataset offers 11,000 hours across 21 languages, free on Hugging Face Project aims to boost voice AI access, led by African institutions Google has officially launched WAXAL, an open-source voice database designed to support the development of artificial intelligence (AI) technologies capable Browse 20 Speech dataset bangla AIs. The goal of this dataset's creation and release is to facilitate research that improves the accuracy and fluency of speech and language technology for these languages. , 2024b) can synthesize speech while controlling for style factors like pitch, speed and emotion via textual style prompts. Studio-quality text-to-speech datasets with diverse emotions and styles, professionally recorded and validated by expert linguists for AI/ML model training. Jan 22, 2026 · Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice Common Voice is a free, open source platform for community-led data creation Anyone can preserve, revitalise and elevate their language by sharing, creating and curating text and speech datasets. The released model is for . This dataset is a crowdsourced multilingual–accented English and non-English speech dataset designed for model training, benchmarking, and acoustic analysis. Include TTS Dataset,text to speech datasets,speech synthesis datasets, In-Car TTS Dataset, speech synthesis corpus, allowing their AI initiatives to thrive and benefit humanity. Participants will be provided with a test set for both experiments on the two above training datasets. While existing research has largely focused on detecting single-speaker audio deepfakes, real-world malicious applications with multi-speaker conversational settings is also emerging as a major underexplored threat. Building such a system requires a training dataset where each example consists of a transcript, a style prompt and an utterance reflecting the specified style prompt 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production - coqui-ai/TTS The Waxal project provides datasets for both Automated Speech Recognition (ASR) and Text-to-Speech (TTS) for African languages. This lack of representation in training datasets limits the effectiveness of speech recognition and text-to-speech systems for African users. Mar 6, 2025 · We introduce Paralinguistic Speech Captions (ParaSpeechCaps), a large-scale dataset that annotates speech utterances with rich style captions. We combine off-the-shelf text and speech embedders Finding the right Text-to-Speech (TTS) datasets is crucial for developing high-quality voice applications. By default, Whisper performs the task of speech transcription, where the source audio language is the same as the target text language. This test set is a text file containing 60 utterance texts to be synthesized by the participant systems. You can find a diagram visualization of the codebase here. Includes tasks such as Documents, Medical documentation, Meeting summaries, Voice cloning and Text to speech. , 2022; Leng et al. We need to install datasets python package. This dataset contains both the audio utterances and corresponding transcriptions. g. I would recommend cleaning the dataset before training any machine learning models. ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as LLM assistant. guttural, nasal, pained) have been explored in small-scale human-annotated datasets, existing large-scale datasets only cover basic tags (e. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. Then the resulting synthesized utterances will be presented to three groups of listeners: speech experts, volunteers, and undergraduates. Covers support, sales, billing, finance, and Browse 27 top rated Zenodo ntt communication science laboratories librispeech musdb18 esc-50 urbansound dataset vocal instrumental ambient segmentation doi AIs. , 2023; Lacombe et al. 5 days ago · The rapid advances in text-to-speech (TTS) technologies have made audio deepfakes increasingly realistic and accessible, raising significant security and trust concerns. low-pitched, slow, loud). Hugging Face dataset Hugging Face Hub is home to over 75,000 datasets in more than 100 languages that can be used for a broad range of tasks across NLP, Computer Vision, and Audio. It contains audio recordings of 110 English speakers with various accents. To address 2 days ago · The collection consists of two main components: an Automated Speech Recognition (ASR) dataset containing approximately 1,250 hours of transcribed, natural speech from a diverse range of speakers, and a Text-to-Speech (TTS) dataset with over 180 hours of high-quality, single-speaker recordings reading phonetically balanced scripts. Includes tasks such as Text to speech, Customer support, Productivity, Models and Voice cloning. While rich abstract tags (e. For the extended end-user products, please refer to the index repo Awesome-ChatTTS maintained by the community. The dataset provides a valuable resource for developing multilingual TTS systems and exploring cross-lingual speech synthesis techniques. Train speech recognition, sentiment analysis, and conversation AI models on authentic customer support audio. Oct 14, 2025 · About Dataset Multilingual Call Center Speech Recognition Dataset: 10,000 Hours Dataset Summary 10,000 hours of real-world call center speech recordings in 7 languages with transcripts. It emphasizes accent variation, short-form scripted prompts, and spontaneous free speech. 8s2w, 3qapc, rj2e, hyx9, qmuni, 6q2h6, 5zed, grhk, lqwca, iewcqr,