AssemblyAI Launches Ruby SDK for Enhanced Audio Processing

AssemblyAI
has
unveiled
its
latest
offering,
the
Ruby
SDK,
aimed
at
simplifying
the
process
of
utilizing
advanced
speech
AI
models.
According
to

AssemblyAI,
this
new
SDK
allows
developers
to
transcribe
audio,
leverage
audio
intelligence
models,
and
apply
Large
Language
Models
(LLMs)
to
their
audio
data
using
LeMUR.

Transcribing
Audio
Files

The
Ruby
SDK
provides
an
efficient
way
to
transcribe
audio
files.
Users
can
transcribe
both
remote
and
local
audio
files
by
following
simple
code
snippets.
For
instance,
to
transcribe
a
remote
audio
file,
users
can
use
the
following
code:

require 'assemblyai' client = AssemblyAI::Client.new(api_key: 'YOUR_API_KEY') transcript = client.transcripts.transcribe( audio_url: 'https://storage.googleapis.com/aai-docs-samples/nbc.mp3'
) abort transcript.error if transcript.status == AssemblyAI::Transcripts::TranscriptStatus::ERROR puts transcript.text

Similarly,
local
files
can
be
transcribed
by
first
uploading
the
file
and
then
processing
it:

uploaded_file = client.files.upload(file: '/path/to/your/file')
transcript = client.transcripts.transcribe( audio_url: uploaded_file.upload_url
)

Detailed
instructions
for
transcribing
audio
files
are
available
in
the

AssemblyAI
documentation.

Applying
LLMs
to
Audio
Data
with
LeMUR

The
Ruby
SDK
also
supports
the
application
of
LLMs
to
audio
data
using
LeMUR.
Users
can
build
applications
that
summarize
transcripts
or
perform
other
tasks:

response = client.lemur.task( transcript_ids: [transcript.id], prompt: 'Summarize this transcript.'
) puts response.response

More
information
on
using
LLMs
with
audio
data
can
be
found
in
the

AssemblyAI
documentation.

Utilizing
Audio
Intelligence
Models

Another
key
feature
of
the
Ruby
SDK
is
its
capability
to
use
audio
intelligence
models.
These
models
can
analyze
audio
files
for
various
attributes,
such
as
sentiment
analysis:

transcript = client.transcripts.transcribe( audio_url: 'https://storage.googleapis.com/aai-docs-samples/nbc.mp3', sentiment_analysis: true
) abort transcript.error if transcript.status == AssemblyAI::Transcripts::TranscriptStatus::ERROR transcript.sentiment_analysis_results.each do |result| puts result.text puts result.sentiment puts result.confidence printf("%d - %d\n", start: result.start, end: result.end_)
end

Additional
details
on
audio
intelligence
models
are
available
in
the

AssemblyAI
documentation.

Getting
Started
with
the
Ruby
SDK

To
begin
using
the
Ruby
SDK,
developers
can
refer
to
the

installation
instructions
and
the

README
of
the
Ruby
SDK
GitHub
repository.
For
any
issues
or
feedback,
users
are
encouraged
to

file
an
issue
on
the
GitHub
repository.

Image
source:
Shutterstock