Speech Dataset

New York English Dataset

High-Quality new York English Call-Center, General Conversation, and Podcast Dataset for AI & Speech Models

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New York English Dataset

Overview

  • LanguageNew York English
  • Dataset TypesCall-Center, General Conversation, Podcast
  • CountryUnited States

Description

This dataset offers diverse speech and media content, including unscripted synthetic agent–customer conversations (5–15 minutes), human-to-human telephonic conversations (15–60 minutes), singing audio with transcriptions, interviews, podcasts, and scripted monologues, supporting the training and evaluation of speech and language technologies.

Dataset Highlights

  • LanguageNew York English
  • Sample Rate16 kHz / 8 kHz
  • Total Hours409:37:15
  • Speakers2,186+
  • ChannelsDual / Mono
  • Duration Range5 - 60 mins

Use Cases

  • ASR (Automatic Speech Recognition)
  • Virtual Assistants & Chatbots
  • Conversational AI
  • Speech Analytics
  • TTS (Text-to-Speech)
  • Language Modelling

Sample Dataset Specs

Dataset TypeCall CenterGeneral ConversationMusic
Sampling Rate8 kHz8 kHz16 kHz
Speakers2 Speakers2 SpeakersSingle Speaker
ChannelDualDualMono
Total Hours117:40:09156:42:48135:14:18
Total # of Speakers1,388510288

Key Benefits

  • Diverse & RepresentativeBroad speaker coverage for inclusive, real-world AI.
  • High-Quality AudioClean, balanced recordings for reliable model performance.
  • Ready for AI/MLStructured and annotated for seamless integration.
  • Scalable & FlexibleMultiple durations, speakers, and domains to fit your needs.

Featured Clients

Trusted by leading AI teams and enterprises worldwide.

  • Microsoft
  • Amazon Web Services
  • Google

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