---
title: "American Speech Recognition Dataset"
description: "The dataset includes 10+ hours of annotated telephone dialogues from 20+ native speakers across the United States, providing high-quality audio recordings, transcriptions, and speaker metadata…"
url: "https://unidata.pro/datasets/american-speech-recognition-dataset/"
date_modified: "2025-12-11T15:43:31+03:00"
language: "en-US"
---
The dataset includes 10+ hours of annotated telephone dialogues from 20+ native speakers across the United States, providing high-quality audio recordings, transcriptions, and speaker metadata to support speech recognition systems, NLP tasks, and machine learning models requiring diverse American speech datasets

## Dataset Structure

### The Numbers Section

**Numbered list:**

- **Number:** 10+ — **Text:** Hours
- **Number:** 20+ — **Text:** Speakers

### Tooltips Section

**Tooltip items:**

- **Name:** NLP
- **Name:** LLM
- **Name:** Machine Learning
- **Name:** Audio Processing
- **Name:** ASR
- **Name:** Voice Recognition

### Dataset Information

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Description | Audio of telephone dialogues in American for training NLP models in real-world conversational scenarios. |
| Data types | Audio |
| Tasks | Speech recognition, NLP |
| Country | the United States(USA) |
| Hours of telephone dialogue | 10 |
| Number of speakers | 20 |
| Labeling | Annotation (ID, Language, Format, Minutes) |
| Recording device | Android smartphone, iPhone |

**Media Slider:** - **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/03/american-speech-recognition-dataset1.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1IiXaJ5KlTFhM1KwXSFMAuHgpgYDBnTi0?usp=sharing)

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Audio Format | WAV, M4A, MP3 |
| Duration | Mean =11 min |
| Recording condition | Low background noise (indoor) |

**Source and data collection methodology:** Source and collection methodology: Data was collected via crowdsourcing platforms

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Call Centers & Customer Service — **Title:** Enhancing American Telephone Dialogue Recognition — **Text:** American Speech Recognition Dataset contains authentic audio recordings from real conversations. Speech samples reflecting regional accents and conversational speech help call centers improve recognition systems and voice technology. This ensures more accurate audio transcriptions, faster call handling, and better customer support experiences in U.S.-based services.
- **Industry:** AI & Machine Learning Research — **Title:** Training Models with High-Quality Audio Data — **Text:** This speech recognition dataset provides reliable training data for machine learning and deep learning models. It consists of high-quality audio samples from different speakers, paired with transcriptions. Researchers use it to develop recognition technology capable of handling varied speech patterns, enabling voice recognition with high accuracy across applications.
- **Industry:** Multilingual & Cross-Language Projects — **Title:** Supporting Natural Language Processing in English — **Text:** The American audio dataset contributes to multilingual speech initiatives by providing clean voice data in the English language. Developers combine it with different languages for natural language tasks, speech translation, and automatic speech recognition. Its diverse speech samples ensure adaptability, making it essential for global voice recognition systems.
- **Industry:** Commercial & Industrial Applications — **Title:** Deploying Speech Recognition in Real Scenarios — **Text:** Businesses use such datasets in commercial use cases such as smart assistants, transcription platforms, and voice recognition tools. Since the database contains human voices with varied speech patterns and voice recordings, it improves audio quality and enhances the performance of recognition systems in real-world spoken language tasks.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What is this dataset used for? — **Answer:** The dataset is designed for training automatic speech recognition systems, NLP models, and voice assistants. It can also be applied in customer service automation, emotion recognition, and voice command technologies.
- **Question:** How was the data collected? — **Answer:** The data was created through structured data collection using mobile devices under indoor conditions with low background noise. This ensures high-quality audio recordings suitable for speech recognition technology and voice analysis.
- **Question:** Is it possible to request a custom dataset? — **Answer:** Yes, Unidata supports requests for custom datasets. You can specify requirements such as speaker demographics, recording conditions, or annotation formats, making it easier to train more precise recognition systems and voice technology models.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model. Free samples are offered for initial testing, while the full American speech recognition dataset is available only through purchase.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All datasets are curated in full compliance with GDPR and applicable privacy regulations. Data collections come from legally permissible sources, ensuring ethical usage of audio recordings and conversational speech.
- **Question:** Why is diverse speaker data valuable for speech recognition models? — **Answer:** Speech recognition models perform better when trained on voices representing different speaking styles and natural communication patterns. Diverse speaker data helps reduce recognition errors and improves model reliability across a wider range of users.
- **Question:** How are Unidata datasets stored? — **Answer:** Unidata securely stores all datasets on AWS cloud infrastructure, providing reliability, high availability, and scalability. Storage practices comply with ISO 27001 and ISO 27701 standards, ensuring strong data protection for speech samples, audio files, and transcriptions.
- **Question:** How long does it take to receive the dataset? — **Answer:** Once you submit a request, Unidata will contact you to finalize details and complete the necessary documentation. After signing and payment, the American telephone dialogues dataset is delivered within 3-10 business days.

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