Introduction

Welcome to the US English Language Visual Speech Dataset! This dataset is a collection of diverse, single-person unscripted spoken videos supporting research in visual speech recognition, emotion detection, and multimodal communication.

Dataset Content

This visual speech dataset contains 1000 videos in US English language each paired with a corresponding high-fidelity audio track. Each participant is answering a specific question in a video in an unscripted and spontaneous nature.

Video Data

While recording each video extensive guidelines are kept in mind to maintain the quality and diversity.

Metadata

The dataset provides comprehensive metadata for each video recording and participant:

This dataset contains thousands of authentic audio recordings of customer calls to service teams across key U.S. industries. Captured from inbound support channels, these files reflect natural speech in real service contexts, with varied speaker accents, background noise, and emotion levels. Each recording involves only a customer and a customer service agent, preserving a realistic two-party call structure.

Dataset includes: - Thousands of customer service call recordings (WAV/MP3) - English language, native and accented speech - Real-world acoustic conditions (noise, silence, overlapping speech) - Dataset language: English (other languages on request)

Use this dataset to: - Train speech-to-text engines on real-world, noisy support audio
- Build speaker diarization and audio segmentation models
- Simulate customer-agent voice interactions for LLM fine-tuning
- Test multilingual or accent-robust audio pipelines
- Develop acoustic models for call quality enhancement

This audio-first dataset is ideal for ASR developers, call center AI builders, and speech researchers looking for real-life, labeled customer service calls.

Home US English Singing Audio DatasetHigh-Quality US English Singing Audio Dataset for AI & Speech Models Contact Us OverviewTitleUS English Singing Audio DataseDataset TypeSinging AudioDescriptionSinging audio collection & transcriptionAudio categories:…

Introduction

Welcome to the US English Language In-car Speech Dataset, a comprehensive collection of audio recordings designed to facilitate the development of speech recognition models specifically tailored for in-car environments. This dataset aims to support research and innovation in automotive speech technology, enabling seamless and robust voice interactions within vehicles for drivers and co-passengers.

Speech Data

This dataset comprises over 5,000 high-quality audio recordings collected from various in-car environments. These recordings include scripted wake words and command-type prompts.

Dataset Diversity

Apart from participant diversity, the dataset is diverse in terms of different wake words, voice commands, and recording environments.

Metadata

The dataset provides comprehensive metadata for each audio recording and participant:

Dataset Overview

The dataset is a curated collection of .npy files containing MFCC features extracted from raw audio recordings. It has been specifically designed for training and evaluating machine learning models in the context of real-world emergency sound detection and classification tasks. The dataset captures diverse audio scenarios, making it a robust resource for developing safety-focused AI systems, such as the SilverAssistant project.

  Dataset Descriptions… See the full description on the dataset page: https://huggingface.co/datasets/SilverAvocado/Silver-Audio-Dataset.

This statistic shows the revenue of the industry “audio and video equipment manufacturing“ in the U.S. from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of audio and video equipment manufacturing in the U.S. will amount to approximately ******* million U.S. Dollars by 2024.

North America Audio Distribution Systems held the major market of more than 40% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of 4.4% from 2023 to 2030

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North America Audio Amplifiers market size will be USD 1478.20 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.2% from 2024 to 2031. North America has emerged as a prominent participant, and its sales revenue is estimated to reach USD 2290.6 Million by 2031. This growth is mainly attributed to the region's growing advancement in automotive industry.

Introduction

Welcome to the US English General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of English speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world US English communication.

Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade English speech models that understand and respond to authentic American accents and dialects.

Speech Data

The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of US English. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

Topic Diversity

The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

Transcription

Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

Metadata

The dataset comes with granular metadata for both speakers and recordings:

Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

Usage and Applications

This dataset is a versatile resource for multiple English speech and language AI applications:

Latin America's Audio Amplifiers market will be USD 184.78 million in 2024 and is estimated to grow at a compound annual growth rate (CAGR) of 6.4% from 2024 to 2031. The market is foreseen to reach USD 314.5 million by 2031 due to the increasing demand from hpme appliances sector.

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Graph and download economic data for Expenditures: Audio and Visual Equipment and Services by Race: White, Asian, and All Other Races, Not Including Black or African American (CXUTVAUDIOLB0902M) from 1984 to 2023 about audio-visual, asian, equipment, white, expenditures, services, and USA.

We provide a wide range of off-the-shelf multilingual audio datasets, featuring real-world call center dialogues and general conversational recordings from regions across Africa, Central America, South America, and Asia.

Our datasets include multiple languages, local dialects, and authentic conversational flows — designed for AI training, contact center automation, and conversational AI development. All samples are human-validated and come with complete metadata.

Each Dataset Includes:

Unique Participant ID

Gender (Male/Female)

Country & City of Origin

Speaker Age (18-60 years)

Language (English + Multiple Local Languages)

Audio Length: ~30 minutes per participant

Validation Status: 100% Human-Checked

Why Work With Us: ✅ Large library of ready-to-use multilingual datasets ✅ Authentic call center, customer service, and natural conversation recordings ✅ Global coverage with diverse speaker demographics ✅ Custom data collection service — we can source or record datasets tailored to your language, region, or domain needs

Best For:

Speech Recognition & Multilingual NLP

Voicebots & Contact Center AI Solutions

Dialect & Accent Recognition Training

Conversational AI & Multilingual Assistants

Customer Support & Quality Analytics

Whether you need off-the-shelf datasets or unique, project-specific collections — we’ve got you covered.

http://filemarket.ai

Latin America Audio Amplifier Market is expected to grow during 2025-2031

The North America Audio Codec Market would witness market growth of 5.9% CAGR during the forecast period (2025-2032). The US market dominated the North America Audio Codec Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of USD 2,361

Introduction

This US English Call Center Speech Dataset for the Retail and E-commerce industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English speakers. Featuring over 30 hours of real-world, unscripted audio, it provides authentic human-to-human customer service conversations vital for training robust ASR models.

Curated by FutureBeeAI, this dataset empowers voice AI developers, data scientists, and language model researchers to build high-accuracy, production-ready models across retail-focused use cases.

Speech Data

The dataset contains 30 hours of dual-channel call center recordings between native US English speakers. Captured in realistic scenarios, these conversations span diverse retail topics from product inquiries to order cancellations, providing a wide context range for model training and testing.

Topic Diversity

This speech corpus includes both inbound and outbound calls with varied conversational outcomes like positive, negative, and neutral, ensuring real-world scenario coverage.

Such variety enhances your model’s ability to generalize across retail-specific voice interactions.

Transcription

All audio files are accompanied by manually curated, time-coded verbatim transcriptions in JSON format.

These transcriptions are production-ready, making model training faster and more accurate.

Metadata

Rich metadata is available for each participant and conversation:

This granularity supports advanced analytics, dialect filtering, and fine-tuned model evaluation.

Usage and Applications

This dataset is ideal for a range of voice AI and NLP applications:

In 2020, digital audio (streaming radio and podcast) advertising spending in Latin America’s largest markets stood at **** million U.S. dollars. This figure is expected to nearly quadruple by 2026, reaching an estimated ** million dollars that year.

Digital advertising in Latin America

In line with rising internet adoption rates, digital advertising spending in Latin America has rapidly increased over the past few years. In 2020, digital ad spend in the region amounted to approximately **** billion U.S. dollars, marking a boost of almost ** percent compared to the previous year. This spike was arguably fueled by the outbreak of the coronavirus (COVID-19) pandemic, which spurred online usage like never before. Taking a closer look at the different countries, Brazil expectedly stands out as the leading digital ad market in Latin America, with nearly *** billion U.S. dollars in digital ad investments in 2020.

The digital audio landscape is constantly expanding

The digital audio market is also slowly gaining momentum in Latin America. For example, the average daily time spend listening to online radio in Brazil increased from *** minutes in 2017 to *** minutes in 2020, signaling a mounting interest in digital audio options. In addition to radio, audiences also embrace music streaming content more vividly than ever, as the rising number of Spotify users in Latin America continues to demonstrate. Meanwhile, the region is also rapidly growing its podcast listener base every year. Knowing that Spanish is poised to become the second universal language for podcasting worldwide and podcasts such as “La Corneta” boast more than *** million downloads per week, audio advertisers in Latin America have their work cut out for them.

freddyaboulton/common-voice-english-audio dataset hosted on Hugging Face and contributed by the HF Datasets community

South America Audio Distribution Systems market of more than 5% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of 5.6% from 2023 to 2030.