Spanish (Spain) Call Center Speech Dataset for Travel

The audio dataset comprises call center conversations for the Travel domain, featuring native Spanish speakers from Spain. It includes speech data, detailed metadata and accurate transcriptions.

Category

Unscripted Call Center Conversations

Total Volume

30 Speech Hours

Last updated

Jun 2024

Number of participants

60

Machine learning voice data for Travel call center in Spanish (Argentina)
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About this Off-the-shelf Speech Dataset

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Introduction

Welcome to the Spanish Call Center Speech Dataset for the Travel domain designed to enhance the development of call center speech recognition models specifically for the Travel industry. This dataset is meticulously curated to support advanced speech recognition, natural language processing, conversational AI, and generative voice AI algorithms.

Speech Data:

This training dataset comprises 30 Hours of call center audio recordings covering various topics and scenarios related to the Travel domain, designed to build robust and accurate customer service speech technology.

  • Participant Diversity:
  • Speakers: 60 expert native Spanish speakers from the FutureBeeAI Community.
  • Regions: Different states/provinces of Spain, ensuring a balanced representation of Spanish accents, dialects, and demographics.
  • Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.
  • Recording Details:
  • Conversation Nature: Unscripted and spontaneous conversations between call center agents and customers.
  • Call Duration: Average duration of 5 to 15 minutes per call.
  • Formats: WAV format with stereo channels, a bit depth of 16 bits, and a sample rate of 8 and 16 kHz.
  • Environment: Without background noise and without echo.
  • Topic Diversity

    This dataset offers a diverse range of conversation topics, call types, and outcomes, including both inbound and outbound calls with positive, neutral, and negative outcomes.

  • Inbound Calls:
  • Booking inquiries and assistance
  • Destination information and recommendations
  • Assistance with flight delays or cancellations
  • Special assistance for passengers with disabilities
  • Travel-related health and safety inquiry
  • Assistance with lost or delayed baggage, and many more
  • Outbound Calls:
  • Promotional offers and package deals
  • Customer satisfaction surveys
  • Booking confirmations and updates
  • Flight schedule changes and notifications
  • Customer feedback collection
  • Reminders for passport or visa expiration date, and many more
  • This extensive coverage ensures the dataset includes realistic call center scenarios, which is essential for developing effective customer support speech recognition models.

    Transcription

    To facilitate your workflow, the dataset includes manual verbatim transcriptions of each call center audio file in JSON format. These transcriptions feature:

  • Speaker-wise Segmentation: Time-coded segments for both agents and customers.
  • Non-Speech Labels: Tags and labels for non-speech elements.
  • Word Error Rate: Word error rate is less than 5% thanks to the dual layer of QA.
  • These ready-to-use transcriptions accelerate the development of the Travel domain call center conversational AI and ASR models for the Spanish language.

    Metadata

    The dataset provides comprehensive metadata for each conversation and participant:

  • Participant Metadata: Unique identifier, age, gender, country, state, district, accent and dialect.
  • Conversation Metadata: Domain, topic, call type, outcome/sentiment, bit depth, and sample rate.
  • This metadata is a powerful tool for understanding and characterizing the data, enabling informed decision-making in the development of Spanish call center speech recognition models.

    Usage and Applications

    This dataset can be used for various applications in the fields of speech recognition, natural language processing, and conversational AI, specifically tailored to the Travel domain. Potential use cases include:

  • Speech Recognition Models: Training and fine-tuning speech recognition models for Spanish.
  • Speech Analytics Models: Building speech analytics models to extract insights, identify patterns, and glean valuable information from customer conversation, enables data-driven decision-making and process optimization within the Travel sector.
  • Smart Assistants and Chatbots: Developing conversational agents and virtual assistants for customer service in the Travel industries.
  • Sentiment Analysis: Analyzing customer sentiment and improving customer experience based on call center interactions.
  • Generative AI: Training generative AI models capable of generating human-like responses, summaries, or content tailored to the Travel domain.
  • Secure and Ethical Collection

  • Our proprietary data collection and transcription platform, “Yugo” was used throughout the process of this dataset creation.
  • Throughout the data collection process, the data remained within our secure platform and did not leave our environment, ensuring data security and confidentiality.
  • The data collection process adhered to strict ethical guidelines, ensuring the privacy and consent of all participants.
  • It does not include any personally identifiable information about any participant, which makes the dataset safe to use.
  • The dataset does not contain any copyrighted content.
  • Updates and Customization

    Understanding the importance of diverse environments for robust ASR models, our call center voice dataset is regularly updated with new audio data captured in various real-world conditions.

  • Customization & Custom Collection Options:
  • Environmental Conditions: Custom collection in specific environmental conditions upon request.
  • Sample Rates: Customizable from 8kHz to 48kHz.
  • Transcription Customization: Tailored to specific guidelines and requirements.
  • License

    This Travel domain call center audio dataset is created by FutureBeeAI and is available for commercial use.

    Use Cases

    Use of speech data in Conversational AI

    Call Center Conversational AI

    Use of speech data for Automatic Speech Recognition

    ASR

    Use of speech data for Chatbot & voicebot creation

    Chatbot

    Use of speech data in Language Modeling

    Language Modelling

    Use of speech data in Text-into-speech

    TTS

    Speech data usecase in Speech Analytics

    Speech Analytics

    Dataset Sample(s)

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    00:00

    ATTRIBUTES

    TRANSCRIPTION

    TIME
    TRANSCRIPT
    0.859 - 1.963
    Hey Futurbee.
    2.599 - 4.804
    Buenas tardes. Agencia de viajes
    5.222 - 6.844
    Oasis. ¿En qué puedo ayudarle?
    7.577 - 14.409
    Buenas tardes. Verá, es que necesitaba información, porque había pensado este veranos hacer un crucero con mi familia
    8.829 - 9.188
    -
    14.913 - 18.361
    y la verdad, como nunca lo he hecho pues quería que me asesoraran un poco.
    19.576 - 20.681
    No s~, diga.
    19.588 - 22.788
    Pues, en este momento tenemos ofertas de última hora
    23.202 - 23.661
    Sí.
    24.070 - 25.070
    en cruceros
    25.370 - 25.902
    Sí.
    25.611 - 28.306
    y llegarían hasta el veinticinco de junio.
    29.050 - 30.777
    Ah, fenomenal. Me iría bien.
    31.187 - 38.801
    [filler] Verá, nosotros estaríamos interesados, a ser posible, [filler] en un crucero por el Mediterráneo, porque la verdad es que me gusta mucho.
    31.495 - 32.329
    La
    39.468 - 44.890
    Pues le voy a comentar las ofertas. ¿De acuerdo? El primer crucero se llama La Música del Mar
    41.207 - 41.786
    Dígame.
    45.807 - 46.271
    Sí.
    45.817 - 50.512
    [filler] Y el barco tendría que cogerlo entre el veintitrés de abril y el veinticinco de junio.
    50.920 - 51.368
    Sí.
    51.094 - 54.268
    Cuesta doscientos cincuenta y nueve euros por persona,
    54.377 - 54.847
    [filler]
    54.636 - 54.734
    -
    55.225 - 57.347
    siempre y cuando la ocupación sea doble.
    58.335 - 67.054
    Y el recorrido sería, Barcelona, Cagliari en Cerdeña, Palermo en Sicilia, Roma, Génova, Marsella y de vuelta a Barcelona.d
    67.956 - 69.495
    [filler] ¿Cuántos días sería?
    68.215 - 69.197
    Y la segunda (())
    70.239 - 70.831
    ¿Perdón?
    70.956 - 72.144
    ¿Cuántos días sería?
    72.870 - 73.677
    Ocho días.
    73.745 - 75.102
    Ocho días. [filler]
    75.640 - 80.849
    Tenemos otra oferta más, que es de trescientos ochenta y nueve euros, que se llama Pasión Mediterránea
    81.513 - 87.162
    y el recorrido es diferente. Valencia, Marsella, Savona, Roma, Nápoles
    87.861 - 90.022
    y [filler] Ibiza y Valencia de nuevo.
    90.772 - 92.426
    [filler] Ese parece muy interesante.
    92.926 - 99.304
    Sí. Y uno más, que est~ este esta oferta de última hora que se llama Symphony of the Seas.
    100.016 - 102.158
    Tiene en diferente de los
    102.531 - 102.849
    -
    102.852 - 104.176
    anteriores que
    104.135 - 104.394
    -
    104.953 - 112.438
    [filler] a bordo puede usted [filler] contratar una di~ la dieta vegana, vegetariana o para celíacos.
    112.861 - 117.903
    [filler] Bueno, eso en nuestro caso no sería necesario, porque nosotros comemos de todo.
    118.408 - 123.694
    Ah, genial. Pues este crucero saldría el el ocho
    124.331 - 128.324
    de abril, el veintidós de abril, el veintinueve de abril,
    128.919 - 138.901
    y el cinco de mayo y el doce de junio. El recorrido es Barcelona, Palma, Marsella, La Spezia, Pizza, Florencia, Roma, Nápoles y Barcelona.
    128.985 - 129.383
    [filler]
    139.258 - 139.544
    -
    139.491 - 139.967
    [filler]
    139.616 - 143.014
    Y su precio es de seiscientos cuarenta y nueve euros por persona.
    142.449 - 142.881
    [filler]
    144.472 - 147.322
    Pues no está, la verdad que no está nada mal. No sé.
    147.854 - 149.085
    Si ya quiere usted
    149.490 - 151.020
    algo más
    151.417 - 152.917
    [filler] durante el verano,
    153.304 - 154.704
    por ejemplo julio y agosto,
    155.044 - 155.520
    [filler]
    155.389 - 162.288
    ya no serían ofertas de última hora. Eso ya serían paquetes contratados en familia, porque ¿me ha dicho usted que quiere ir en familia, verdad?
    161.866 - 164.639
    Sí. Iríamos mi esposo y mis dos hijos.
    165.943 - 176.935
    Pues, tenemos [filler] algunos cruceros especiales para familias en los que los niños pueden ha~ disfrutar de parques acuáticos, barcos piratas, castillos,
    177.282 - 177.383
    -
    177.497 - 180.967
    [filler] hay una habitación con consolas Xbox
    177.556 - 178.199
    [filler]

    Dataset Details

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    Language

    Spanish

    Language code

    es

    Country

    Spain

    Accents

    Castellano del Norte, Castellano del Sur ...more

    Gender Distribution

    M:60, F:40

    Age Group

    18-70

    File Details

    Card Head Line

    Environment

    Silent, Noisy

    Bit Depth

    16 bit

    Format

    wav

    Sample rate

    8khz & 16khz

    Channel

    Stereo

    Audio file duration

    5-15 minutes

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